test_proxy_tensor.log

============================= test session starts ==============================
platform linux -- Python 3.9.12, pytest-7.1.3, pluggy-1.0.0 -- /scratch/ezyang/work/env/bin/python
cachedir: .pytest_cache
benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/scratch/ezyang/work/pytorch/.hypothesis/examples')
rootdir: /scratch/ezyang/work/pytorch, configfile: pytest.ini
plugins: benchmark-3.4.1, hydra-core-1.1.2, csv-3.0.0, hypothesis-6.56.4
collecting ... collected 2555 items / 1331 deselected / 1224 selected

test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_H_cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_T_cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___getitem___cpu_float32 SKIPPED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___radd___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rdiv___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmod___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmul___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rpow___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rsub___cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_abs_cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acos_cpu_float32 PASSED [  0%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acosh_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_add_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addbmm_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcmul_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmv_cpu_float32 FAILED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addr_cpu_float32 FAILED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_all_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_allclose_cpu_float32 FAILED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amax_cpu_float32 PASSED [  1%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amin_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 FAILED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_angle_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_any_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_arange_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argmax_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argmin_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argsort_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argwhere_cpu_float32 FAILED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_scatter_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asin_cpu_float32 PASSED [  2%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asinh_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan2_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atanh_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 FAILED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_block_diag_cpu_float32 SKIPPED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bmm_cpu_float32 PASSED [  3%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bool_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 FAILED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_byte_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 FAILED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cat_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdist_cpu_float32 FAILED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdouble_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ceil_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cfloat_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chalf_cpu_float32 PASSED [  4%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_char_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 FAILED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 FAILED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 FAILED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chunk_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_max_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_min_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clone_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 FAILED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_combinations_cpu_float32 FAILED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_complex_cpu_float32 PASSED [  5%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_contiguous_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_copysign_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 FAILED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cos_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cosh_cpu_float32 PASSED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 FAILED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cov_cpu_float32 FAILED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cross_cpu_float32 FAILED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummax_cpu_float32 FAILED [  6%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummin_cpu_float32 FAILED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 FAILED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumsum_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 FAILED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 FAILED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagflat_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32 PASSED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diff_cpu_float32 FAILED [  7%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_digamma_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dist_cpu_float32 FAILED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dot_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_double_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 FAILED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dstack_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_einsum_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_cpu_float32 SKIPPED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_like_cpu_float32 SKIPPED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_eq_cpu_float32 PASSED [  8%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_equal_cpu_float32 FAILED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erf_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfc_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfinv_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp2_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_as_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expm1_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_eye_cpu_float32 PASSED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 FAILED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 FAILED [  9%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 FAILED [ 10%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 FAILED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fill_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flatten_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flip_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fliplr_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flipud_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_float_cpu_float32 PASSED [ 11%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_float_power_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_floor_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_floor_divide_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmax_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmin_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmod_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_frac_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_frexp_cpu_float32 FAILED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_full_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_full_like_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gather_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ge_cpu_float32 PASSED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 FAILED [ 12%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gradient_cpu_float32 FAILED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gt_cpu_float32 PASSED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_half_cpu_float32 PASSED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_heaviside_cpu_float32 PASSED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histc_cpu_float32 FAILED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogram_cpu_float32 FAILED [ 13%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hstack_cpu_float32 PASSED [ 13%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_i0_cpu_float32 FAILED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_igamma_cpu_float32 PASSED [ 13%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_igammac_cpu_float32 PASSED [ 14%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_add_cpu_float32 PASSED [ 14%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_copy_cpu_float32 PASSED [ 14%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_fill_cpu_float32 PASSED [ 14%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 FAILED [ 14%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_select_cpu_float32 PASSED [ 14%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32 PASSED [ 15%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32 PASSED [ 17%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32 FAILED [ 17%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atleast_1d_cpu_float32 SKIPPED [ 17%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 FAILED [ 18%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bucketize_cpu_float32 SKIPPED [ 18%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_byte_cpu_float32 SKIPPED [ 19%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cdist_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cdouble_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32 FAILED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cfloat_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_char_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32 SKIPPED [ 19%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32 SKIPPED [ 19%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_chunk_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32 FAILED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32 FAILED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32 FAILED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clone_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_column_stack_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_combinations_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_complex_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_conj_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32 FAILED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32 SKIPPED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32 FAILED [ 20%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32 FAILED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32 FAILED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_count_nonzero_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cov_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cross_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cummax_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cummin_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 FAILED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32 FAILED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32 SKIPPED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32 FAILED [ 21%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diag_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diag_embed_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_copy_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_scatter_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diff_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32 FAILED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32 SKIPPED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32 FAILED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_no_rounding_mode_cpu_float32 PASSED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32 FAILED [ 22%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_double_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dsplit_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_einsum_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32 SKIPPED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32 FAILED [ 23%]
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test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32 FAILED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32 FAILED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32 FAILED [ 23%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32 FAILED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32 FAILED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32 FAILED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_eye_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32 SKIPPED [ 24%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfftn_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifft2_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfftn_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfft2_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfft_cpu_float32 SKIPPED [ 25%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfftn_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32 PASSED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flatten_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flipud_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 FAILED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32 FAILED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32 FAILED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmin_cpu_float32 SKIPPED [ 26%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32 FAILED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32 FAILED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_full_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_full_like_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gather_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32 FAILED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_geqrf_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gradient_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32 FAILED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_half_cpu_float32 SKIPPED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32 FAILED [ 27%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32 SKIPPED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32 SKIPPED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32 SKIPPED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32 SKIPPED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hstack_cpu_float32 SKIPPED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32 FAILED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 FAILED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32 FAILED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32 FAILED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32 PASSED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_copy_cpu_float32 PASSED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_fill_cpu_float32 PASSED [ 28%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32 PASSED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 FAILED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_select_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_int_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isclose_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isneginf_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isreal_cpu_float32 SKIPPED [ 29%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32 PASSED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32 FAILED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 FAILED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 FAILED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32 SKIPPED [ 30%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_det_singular_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eig_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32 SKIPPED [ 31%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32 SKIPPED [ 32%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svd_cpu_float32 SKIPPED [ 33%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 FAILED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 FAILED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 FAILED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 FAILED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32 SKIPPED [ 34%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32 PASSED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32 PASSED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32 PASSED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32 PASSED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 FAILED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32 SKIPPED [ 35%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 FAILED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_unpack_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mH_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mT_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_amin_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_argmax_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_argmin_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_cumprod_cpu_float32 SKIPPED [ 36%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_cumsum_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32 FAILED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_log_softmax_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_normalize_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_prod_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32 FAILED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_select_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_softmax_cpu_float32 SKIPPED [ 37%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_softmin_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_std_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_var_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_matmul_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_matrix_exp_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_binary_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_reduction_no_dim_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_maximum_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32 SKIPPED [ 38%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_meshgrid_list_of_tensors_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_meshgrid_variadic_tensors_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_binary_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_reduction_no_dim_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_reduction_with_dim_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32 PASSED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32 SKIPPED [ 39%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 FAILED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 FAILED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 FAILED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32 FAILED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanmean_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanmedian_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nansum_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_narrow_copy_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_narrow_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_batch_norm_cpu_float32 SKIPPED [ 40%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32 FAILED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32 FAILED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_empty_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_ones_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_zeros_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32 FAILED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional__scaled_dot_product_attention_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool3d_cpu_float32 SKIPPED [ 41%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool3d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_bilinear_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 FAILED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv1d_cpu_float32 SKIPPED [ 42%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv2d_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose3d_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_similarity_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32 SKIPPED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout2d_cpu_float32 PASSED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout3d_cpu_float32 PASSED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32 PASSED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32 FAILED [ 43%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_bag_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool3d_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_gelu_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_group_norm_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardshrink_cpu_float32 SKIPPED [ 44%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 FAILED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_instance_norm_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bicubic_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_linear_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_trilinear_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_kl_div_cpu_float32 SKIPPED [ 45%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_l1_loss_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_layer_norm_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32 PASSED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_linear_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool2d_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool3d_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_grad_cpu_float32 SKIPPED [ 46%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_grad_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_grad_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 FAILED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_mse_loss_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_margin_loss_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_normalize_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32 SKIPPED [ 47%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_constant_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_reflect_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_poisson_nll_loss_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu_cpu_float32 SKIPPED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 FAILED [ 48%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32 FAILED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32 PASSED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_smooth_l1_loss_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softplus_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softshrink_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softsign_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32 FAILED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32 SKIPPED [ 49%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_unfold_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_bilinear_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_nearest_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nonzero_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_inf_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_number_mean_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ones_like_cpu_float32 SKIPPED [ 50%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ormqr_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_outer_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_permute_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polar_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 FAILED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 FAILED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 FAILED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 FAILED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 FAILED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32 SKIPPED [ 51%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32 FAILED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_prod_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32 FAILED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_qr_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_quantile_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32 FAILED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rand_like_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randint_like_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randn_like_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ravel_cpu_float32 SKIPPED [ 52%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_real_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32 FAILED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32 FAILED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 FAILED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_repeat_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_repeat_interleave_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 FAILED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 FAILED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resolve_neg_cpu_float32 SKIPPED [ 53%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_roll_cpu_float32 SKIPPED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rot90_cpu_float32 SKIPPED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 FAILED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 FAILED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 FAILED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 FAILED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32 FAILED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32 SKIPPED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scalar_tensor_cpu_float32 SKIPPED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32 PASSED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32 PASSED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32 PASSED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32 PASSED [ 54%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_mean_cpu_float32 PASSED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_prod_cpu_float32 PASSED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32 PASSED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_searchsorted_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_segment_reduce_lengths_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_segment_reduce_offsets_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32 FAILED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32 SKIPPED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32 FAILED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32 FAILED [ 55%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_cosine_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_exponential_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_gaussian_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_kaiser_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signbit_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32 FAILED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32 FAILED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32 FAILED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_slice_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_softmax_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_softmax_with_dtype_cpu_float32 SKIPPED [ 56%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sort_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_j0_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32 SKIPPED [ 57%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_he_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i1_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i1e_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_laguerre_polynomial_l_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_legendre_polynomial_p_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_log_ndtr_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i0_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i1_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k1_cpu_float32 SKIPPED [ 58%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32 SKIPPED [ 59%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 FAILED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 FAILED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 FAILED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32 PASSED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32 SKIPPED [ 60%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_symeig_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 FAILED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 FAILED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 FAILED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32 SKIPPED [ 61%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 FAILED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 FAILED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 FAILED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32 PASSED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 FAILED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32 SKIPPED [ 62%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 FAILED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32 PASSED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32 SKIPPED [ 63%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 FAILED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32 PASSED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32 SKIPPED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_int_cpu_float32 PASSED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isclose_cpu_float32 FAILED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isfinite_cpu_float32 PASSED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isin_cpu_float32 FAILED [ 64%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isinf_cpu_float32 PASSED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isnan_cpu_float32 PASSED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isneginf_cpu_float32 PASSED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isposinf_cpu_float32 PASSED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isreal_cpu_float32 PASSED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32 SKIPPED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32 SKIPPED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kron_cpu_float32 FAILED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 FAILED [ 65%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ldexp_cpu_float32 PASSED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_le_cpu_float32 PASSED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lerp_cpu_float32 PASSED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lgamma_cpu_float32 PASSED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 FAILED [ 66%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32 SKIPPED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 SKIPPED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 FAILED [ 67%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 SKIPPED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 FAILED [ 68%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 FAILED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32 PASSED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32 PASSED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linspace_cpu_float32 PASSED [ 69%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log10_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log1p_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log2_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 FAILED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 FAILED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 FAILED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logdet_cpu_float32 FAILED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_and_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_not_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_or_cpu_float32 PASSED [ 70%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logit_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logspace_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_long_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lt_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_cpu_float32 FAILED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 FAILED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 FAILED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mH_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mT_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32 PASSED [ 71%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 FAILED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 FAILED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 FAILED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32 SKIPPED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_median_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32 PASSED [ 72%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 FAILED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 FAILED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_std_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_var_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matmul_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 FAILED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_binary_cpu_float32 PASSED [ 73%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_maximum_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mean_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_median_cpu_float32 FAILED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 FAILED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 FAILED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_binary_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 FAILED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_minimum_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mm_cpu_float32 PASSED [ 74%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mode_cpu_float32 FAILED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_movedim_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_msort_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mul_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 FAILED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mv_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 FAILED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmean_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32 PASSED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 FAILED [ 75%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nansum_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_cpu_float32 FAILED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ne_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_neg_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_cpu_float32 SKIPPED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32 SKIPPED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_full_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_ones_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32 PASSED [ 76%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nextafter_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 SKIPPED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 FAILED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 FAILED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 FAILED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 PASSED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 FAILED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 SKIPPED [ 77%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 FAILED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 FAILED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 FAILED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 FAILED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 FAILED [ 78%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 FAILED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32 PASSED [ 79%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 FAILED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 FAILED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 PASSED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 FAILED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 FAILED [ 80%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 FAILED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 FAILED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 FAILED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 PASSED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 FAILED [ 81%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 SKIPPED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 SKIPPED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 SKIPPED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 SKIPPED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32 PASSED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 PASSED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 FAILED [ 82%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 SKIPPED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 FAILED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 83%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 FAILED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 FAILED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 PASSED [ 84%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 FAILED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 FAILED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32 PASSED [ 85%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_cpu_float32 PASSED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_like_cpu_float32 PASSED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_outer_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_permute_cpu_float32 PASSED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polar_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 FAILED [ 86%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_positive_cpu_float32 PASSED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pow_cpu_float32 PASSED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_prod_cpu_float32 PASSED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_put_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_qr_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_quantile_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 FAILED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rand_like_cpu_float32 PASSED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_cpu_float32 PASSED [ 87%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_like_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_like_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ravel_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_real_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_remainder_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_renorm_cpu_float32 FAILED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32 SKIPPED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_cpu_float32 PASSED [ 88%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize__cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32 PASSED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32 PASSED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_roll_cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rot90_cpu_float32 PASSED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 FAILED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32 PASSED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsub_cpu_float32 PASSED [ 89%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 FAILED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 FAILED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 FAILED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_cpu_float32 PASSED [ 90%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sgn_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_short_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sign_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signbit_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sin_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinc_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinh_cpu_float32 PASSED [ 91%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sort_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 FAILED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 FAILED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32 PASSED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 FAILED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 FAILED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 FAILED [ 92%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 FAILED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_entr_cpu_float32 PASSED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32 PASSED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 FAILED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 FAILED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32 PASSED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1_cpu_float32 PASSED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32 PASSED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 FAILED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 SKIPPED [ 93%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32 PASSED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32 PASSED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32 PASSED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 FAILED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 94%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sqrt_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_square_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stack_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_cpu_float32 PASSED [ 95%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_mean_cpu_float32 PASSED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stft_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sub_cpu_float32 PASSED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_cpu_float32 PASSED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_symeig_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_cpu_float32 PASSED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_cpu_float32 FAILED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tan_cpu_float32 PASSED [ 96%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tanh_cpu_float32 PASSED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 FAILED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 FAILED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tile_cpu_float32 PASSED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_cpu_float32 SKIPPED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32 SKIPPED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_topk_cpu_float32 PASSED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trace_cpu_float32 PASSED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_transpose_cpu_float32 PASSED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 FAILED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapz_cpu_float32 FAILED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 FAILED [ 97%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tril_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triu_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_true_divide_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trunc_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unbind_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 FAILED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_uniform_cpu_float32 XFAIL [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32 FAILED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_cpu_float32 FAILED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32 PASSED [ 98%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_mean_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vdot_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32 FAILED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_cpu_float32 FAILED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 FAILED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vstack_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_where_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_xlogy_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zero__cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_cpu_float32 PASSED [ 99%]
test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 PASSED [100%]

=================================== FAILURES ===================================
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_addmv_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addmv.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0, s1], [s1, 1], args_3: f32[s1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        addmv = torch.ops.aten.addmv.default(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_addr_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 853, in __torch_dispatch__
    return decomposition_table[func](*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_prims_common/wrappers.py", line 212, in _fn
    result = fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_prims_common/wrappers.py", line 119, in _fn
    result = fn(**bound.arguments)
  File "/scratch/ezyang/work/pytorch/torch/_refs/__init__.py", line 2410, in addr
    return beta * self + alpha * torch.outer(vec1, vec2)
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 832, in __torch_dispatch__
    r = func.decompose(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 306, in decompose
    return self._op_dk(dk, *args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0], [1], args_3: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        addr = torch.ops.aten.addr.default(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_allclose_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call
    raise RuntimeError(
RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.allclose.default - erroring out! It's likely that this is caused by data-dependent control flow or similar.
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.aminmax.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        aminmax = torch.ops.aten.aminmax.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_argwhere_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.nonzero.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        nonzero = torch.ops.aten.nonzero.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.baddbmm.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3: f32[s0, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        baddbmm = torch.ops.aten.baddbmm.default(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 853, in __torch_dispatch__
    return decomposition_table[func](*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_prims_common/wrappers.py", line 212, in _fn
    result = fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_refs/__init__.py", line 4967, in bucketize
    mid_val = boundaries[mid]
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 832, in __torch_dispatch__
    r = func.decompose(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 306, in decompose
    return self._op_dk(dk, *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 883, in __torch_dispatch__
    op_impl_out = op_impl(self, func, *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 370, in data_dep
    raise DataDependentOutputException(func)
torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        bucketize = torch.ops.aten.bucketize.Tensor(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 1137, in cartesian_prod
    return _VF.cartesian_prod(tensors)  # type: ignore[attr-defined]
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cdist_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 1224, in cdist
    return _VF.cdist(x1, x2, p, 1)  # type: ignore[attr-defined]
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s2, s1], [s1*s2, s1, 1], args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cholesky.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cholesky = torch.ops.aten.cholesky.default(args_1, True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cholesky_inverse.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cholesky_inverse = torch.ops.aten.cholesky_inverse.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cholesky_solve.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], args_2: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cholesky_solve = torch.ops.aten.cholesky_solve.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_combinations_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        view: f32[1, s0], [s0, 1] = torch.ops.aten.view.default(args_1, [1, -1]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.count_nonzero.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        count_nonzero = torch.ops.aten.count_nonzero.default(args_1);  args_1 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cov_cpu_float32 ___
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        view: f32[1, s0], [s0, 1] = torch.ops.aten.view.default(args_1, [1, -1]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cross_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, 3], [3, 1], args_2: f32[s0, 3], [3, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_cross = torch.ops.aten.linalg_cross.default(args_1, args_2, dim = 1);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cummax_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cummax.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cummax = torch.ops.aten.cummax.default(args_1, 0);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cummin_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cummin.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cummin = torch.ops.aten.cummin.default(args_1, 0);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cumprod.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        cumprod = torch.ops.aten.cumprod.default(args_1, 0);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.deg2rad.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        deg2rad = torch.ops.aten.deg2rad.default(args_1);  args_1 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_diff_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_dist_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.dist.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        dist = torch.ops.aten.dist.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_equal_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call
    raise RuntimeError(
RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.equal.default - erroring out! It's likely that this is caused by data-dependent control flow or similar.
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _to_copy: c64[s0, s1, s2], [s1*s2, s2, 1] = torch.ops.aten._to_copy.default(args_1, dtype = torch.complex64);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _to_copy: c64[s0, s1, s2], [s1*s2, s2, 1] = torch.ops.aten._to_copy.default(args_1, dtype = torch.complex64);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_frexp_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.frexp.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        frexp = torch.ops.aten.frexp.Tensor(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.geqrf.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        geqrf = torch.ops.aten.geqrf.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_gradient_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histc_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.histc.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        histc = torch.ops.aten.histc.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histogram_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.histogram.bin_ct - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        histogram = torch.ops.aten.histogram.bin_ct(args_1, 1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._histogramdd_bin_edges.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, args_3, args_4, args_5, args_6, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _histogramdd_bin_edges = torch.ops.aten._histogramdd_bin_edges.default(args_1, [1, 1, 1, 1, 1]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_i0_cpu_float32 ___
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.i0.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        i0 = torch.ops.aten.i0.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.index_reduce.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2, args_3: i64[1], [1], args_4: f32[], [], args_5, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        index_reduce = torch.ops.aten.index_reduce.default(args_1, 0, args_3, args_4, 'prod');  args_1 = args_3 = args_4 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inner_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.abs_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        abs_ = torch.ops.aten.abs_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.acos_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        acos_ = torch.ops.aten.acos_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.acosh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        acosh_ = torch.ops.aten.acosh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addbmm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addbmm_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3: f32[s0, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addbmm_ = torch.ops.aten.addbmm_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addcdiv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addcdiv_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addcdiv_ = torch.ops.aten.addcdiv_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addcmul_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addcmul_ = torch.ops.aten.addcmul_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addmm_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addmm_ = torch.ops.aten.addmm_.default(clone, args_2, args_3, beta = 0.2, alpha = 0.6);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addmm_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addmm_ = torch.ops.aten.addmm_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addmv_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0, s1], [s1, 1], args_3: f32[s1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addmv_ = torch.ops.aten.addmv_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.addr_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0], [1], args_3: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        addr_ = torch.ops.aten.addr_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.asin_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        asin_ = torch.ops.aten.asin_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.asinh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        asinh_ = torch.ops.aten.asinh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_atan2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.atan2_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        atan2_ = torch.ops.aten.atan2_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.atan_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        atan_ = torch.ops.aten.atan_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_atanh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.atanh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        atanh_ = torch.ops.aten.atanh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.baddbmm_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3: f32[s0, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s1], [s0*s1, s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        baddbmm_ = torch.ops.aten.baddbmm_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.ceil_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        ceil_ = torch.ops.aten.ceil_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.clamp_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s0], [s0*s1, s0, 1], args_2: f32[s0, s1, s0], [s0*s1, s0, 1], args_3: f32[s0, s1, s0], [s0*s1, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s1, s0], [s0*s1, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        clamp_ = torch.ops.aten.clamp_.Tensor(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.clamp_max_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        clamp_max_ = torch.ops.aten.clamp_max_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.clamp_min_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        clamp_min_ = torch.ops.aten.clamp_min_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.conj_physical_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        conj_physical_ = torch.ops.aten.conj_physical_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.copysign_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        copysign_ = torch.ops.aten.copysign_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cos_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        cos_ = torch.ops.aten.cos_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cosh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        cosh_ = torch.ops.aten.cosh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cumprod_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        cumprod_ = torch.ops.aten.cumprod_.default(clone, 0);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cumsum_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        cumsum_ = torch.ops.aten.cumsum_.default(clone, 0);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.deg2rad_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        deg2rad_ = torch.ops.aten.deg2rad_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.digamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        digamma_ = torch.ops.aten.digamma_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.div_.Tensor_mode - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        div_ = torch.ops.aten.div_.Tensor_mode(clone, args_2, rounding_mode = 'floor');  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.div_.Tensor_mode - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        div_ = torch.ops.aten.div_.Tensor_mode(clone, args_2, rounding_mode = 'trunc');  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.eq_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        eq_ = torch.ops.aten.eq_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.erf_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        erf_ = torch.ops.aten.erf_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.erfc_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        erfc_ = torch.ops.aten.erfc_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.erfinv_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        erfinv_ = torch.ops.aten.erfinv_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.exp2_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        exp2_ = torch.ops.aten.exp2_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.exp_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        exp_ = torch.ops.aten.exp_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.expm1_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        expm1_ = torch.ops.aten.expm1_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
RuntimeError: the base given to float_power_ has dtype Float but the operation's result requires dtype Double
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.floor_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        floor_ = torch.ops.aten.floor_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.floor_divide_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        floor_divide_ = torch.ops.aten.floor_divide_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.fmod_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        fmod_ = torch.ops.aten.fmod_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.frac_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        frac_ = torch.ops.aten.frac_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.ge_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        ge_ = torch.ops.aten.ge_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.gt_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        gt_ = torch.ops.aten.gt_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.heaviside_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        heaviside_ = torch.ops.aten.heaviside_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.hypot_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        hypot_ = torch.ops.aten.hypot_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.i0_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        i0_ = torch.ops.aten.i0_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.igamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        igamma_ = torch.ops.aten.igamma_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.igammac_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        igammac_ = torch.ops.aten.igammac_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.index_reduce_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2, args_3: i64[1], [1], args_4: f32[], [], args_5, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        index_reduce_ = torch.ops.aten.index_reduce_.default(clone, 0, args_3, args_4, 'prod');  clone = args_3 = args_4 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.le_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        le_ = torch.ops.aten.le_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.lerp_.Scalar - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        lerp_ = torch.ops.aten.lerp_.Scalar(clone, args_2, 0.4);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.lgamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        lgamma_ = torch.ops.aten.lgamma_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.log10_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        log10_ = torch.ops.aten.log10_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.log1p_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        log1p_ = torch.ops.aten.log1p_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.log2_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        log2_ = torch.ops.aten.log2_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.log_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        log_ = torch.ops.aten.log_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.logit_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        logit_ = torch.ops.aten.logit_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.lt_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        lt_ = torch.ops.aten.lt_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.masked_fill_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        masked_fill_ = torch.ops.aten.masked_fill_.Tensor(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.masked_scatter_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        masked_scatter_ = torch.ops.aten.masked_scatter_.default(clone, args_2, args_3);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        mvlgamma_ = torch.ops.aten.mvlgamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        mvlgamma_ = torch.ops.aten.mvlgamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        mvlgamma_ = torch.ops.aten.mvlgamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.nan_to_num_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        nan_to_num_ = torch.ops.aten.nan_to_num_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.ne_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        ne_ = torch.ops.aten.ne_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.neg_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        neg_ = torch.ops.aten.neg_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.nextafter_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        nextafter_ = torch.ops.aten.nextafter_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11715, in <lambda>
    torch.nn.functional.celu(x, alpha, inplace=True),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1602, in celu
    result = torch.celu_(input, alpha)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.celu_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1602, code: result = torch.celu_(input, alpha)
        celu_ = torch.ops.aten.celu_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11662, in <lambda>
    torch.nn.functional.elu(x, alpha, inplace=True),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1546, in elu
    result = torch._C._nn.elu_(input, alpha)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.elu_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1546, code: result = torch._C._nn.elu_(input, alpha)
        elu_ = torch.ops.aten.elu_.default(clone, 1.0);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1989, in hardsigmoid
    return torch._C._nn.hardsigmoid_(input)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.hardsigmoid_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1989, code: return torch._C._nn.hardsigmoid_(input)
        hardsigmoid_ = torch.ops.aten.hardsigmoid_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 2077, in mish
    return torch._C._nn.mish_(input)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.mish_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:2077, code: return torch._C._nn.mish_(input)
        mish_ = torch.ops.aten.mish_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11731, in <lambda>
    wrapper_set_seed(torch.nn.functional.rrelu, input, *args, inplace=True, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1680, in rrelu
    result = torch.rrelu_(input, lower, upper, training)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rrelu_with_noise_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1680, code: result = torch.rrelu_(input, lower, upper, training)
        empty_like: f32[s0], [1] = torch.ops.aten.empty_like.default(clone, memory_format = torch.contiguous_format)
        rrelu_with_noise_ = torch.ops.aten.rrelu_with_noise_.default(clone, empty_like, 0.0, 1.0, True);  clone = empty_like = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11779, in <lambda>
    inplace_variant=lambda x: torch.nn.functional.selu(x, inplace=True),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1575, in selu
    result = torch.selu_(input)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.elu_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1575, code: result = torch.selu_(input)
        elu_ = torch.ops.aten.elu_.default(clone, 1.6732632423543772, 1.0507009873554805);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 12017, in <lambda>
    torch.nn.functional.threshold(x, threshold, value, inplace=True),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1425, in _threshold
    result = _VF.threshold_(input, threshold, value)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.threshold_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1425, code: result = _VF.threshold_(input, threshold, value)
        threshold_ = torch.ops.aten.threshold_.default(clone, -3.033684730529785, 5.106744766235352);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        polygamma_ = torch.ops.aten.polygamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        polygamma_ = torch.ops.aten.polygamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        polygamma_ = torch.ops.aten.polygamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        polygamma_ = torch.ops.aten.polygamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        polygamma_ = torch.ops.aten.polygamma_.default(clone, 1);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.pow_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        pow_ = torch.ops.aten.pow_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.put_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: i64[s0], [1], args_3: f32[s0], [1], args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        put_ = torch.ops.aten.put_.default(clone, args_2, args_3, True);  clone = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rad2deg_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        rad2deg_ = torch.ops.aten.rad2deg_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.reciprocal_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        reciprocal_ = torch.ops.aten.reciprocal_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.remainder_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        remainder_ = torch.ops.aten.remainder_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.renorm_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        renorm_ = torch.ops.aten.renorm_.default(clone, 2, 1, 0.5);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 891, in __torch_dispatch__
    r = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: Expected !size_bytes_is_symbolic_ to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[25, 5], [5, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        resize_ = torch.ops.aten.resize_.default(clone, [25, 5]);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.resize_as_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        resize_as_ = torch.ops.aten.resize_as_.default(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.round_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        round_ = torch.ops.aten.round_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        round_ = torch.ops.aten.round_.decimals(clone, decimals = 0);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        round_ = torch.ops.aten.round_.decimals(clone, decimals = 3);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        round_ = torch.ops.aten.round_.decimals(clone, decimals = -3);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rsqrt_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        rsqrt_ = torch.ops.aten.rsqrt_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sgn_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sgn_ = torch.ops.aten.sgn_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sigmoid_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sigmoid_ = torch.ops.aten.sigmoid_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sign_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sign_ = torch.ops.aten.sign_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sin_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sin_ = torch.ops.aten.sin_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sinc_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sinc_ = torch.ops.aten.sinc_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sinh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sinh_ = torch.ops.aten.sinh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sqrt_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        sqrt_ = torch.ops.aten.sqrt_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.pow_.Scalar - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        pow_ = torch.ops.aten.pow_.Scalar(clone, 2);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.squeeze_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, 1, s0, 1], [s0, s0, 1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, 1, s0, 1], [s0, s0, 1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        squeeze_ = torch.ops.aten.squeeze_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.t_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[1, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        t_ = torch.ops.aten.t_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.tan_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        tan_ = torch.ops.aten.tan_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.tanh_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        tanh_ = torch.ops.aten.tanh_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.transpose_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s1], [s0*s1, s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[1, s0, s1], [s0*s1, s1, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        transpose_ = torch.ops.aten.transpose_.default(clone, -1, -2);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.tril_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        tril_ = torch.ops.aten.tril_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.triu_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        triu_ = torch.ops.aten.triu_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.trunc_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        trunc_ = torch.ops.aten.trunc_.default(clone);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.uniform_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1);  args_1 = None
        uniform_ = torch.ops.aten.uniform_.default(clone, -100.0, 100.0);  clone = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1591, in test_make_fx_symbolic_exhaustive_inplace
    _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1518, in _fn
    return inplace_variant(t.clone(), *args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.xlogy_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1518, code: return inplace_variant(t.clone(), *args, **kwargs)
        clone: f32[], [] = torch.ops.aten.clone.default(args_1);  args_1 = None
        xlogy_ = torch.ops.aten.xlogy_.Tensor(clone, args_2);  clone = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_isclose_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.bitwise_and_.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        eq: b8[s0], [1] = torch.ops.aten.eq.Tensor(args_1, args_2)
        mul: f32[], [] = torch.ops.aten.mul.Scalar(args_2, 1e-05)
        abs_1: f32[], [] = torch.ops.aten.abs.default(mul);  mul = None
        add: f32[], [] = torch.ops.aten.add.Scalar(abs_1, 1e-08);  abs_1 = None
        sub: f32[s0], [1] = torch.ops.aten.sub.Tensor(args_1, args_2);  args_1 = args_2 = None
        abs_2: f32[s0], [1] = torch.ops.aten.abs.default(sub);  sub = None
        abs_3: f32[s0], [1] = torch.ops.aten.abs.default(abs_2)
        ne: b8[s0], [1] = torch.ops.aten.ne.Scalar(abs_3, inf);  abs_3 = None
        eq_1: b8[s0], [1] = torch.ops.aten.eq.Tensor(abs_2, abs_2)
        mul_1: b8[s0], [1] = torch.ops.aten.mul.Tensor(eq_1, ne);  eq_1 = ne = None
        le: b8[s0], [1] = torch.ops.aten.le.Tensor(abs_2, add);  abs_2 = add = None
        bitwise_and_ = torch.ops.aten.bitwise_and_.Tensor(mul_1, le);  mul_1 = le = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_isin_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.isin.Tensor_Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        isin = torch.ops.aten.isin.Tensor_Tensor(args_1, args_2);  args_1 = args_2 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_kron_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s1, s2], [s2, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.kthvalue.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        kthvalue = torch.ops.aten.kthvalue.default(args_1, 2);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_cholesky_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_cholesky_ex = torch.ops.aten.linalg_cholesky_ex.default(args_1, upper = True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_cholesky_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_cholesky_ex = torch.ops.aten.linalg_cholesky_ex.default(args_1, upper = True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_cross = torch.ops.aten.linalg_cross.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_det = torch.ops.aten._linalg_det.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_det = torch.ops.aten._linalg_det.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_eig.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_eig = torch.ops.aten.linalg_eig.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_eigh = torch.ops.aten._linalg_eigh.default(args_1, 'U');  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_eig.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_eig = torch.ops.aten.linalg_eig.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_eigh = torch.ops.aten._linalg_eigh.default(args_1, 'U');  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_householder_product.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_householder_product = torch.ops.aten.linalg_householder_product.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_inv_ex = torch.ops.aten.linalg_inv_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_inv_ex = torch.ops.aten.linalg_inv_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_ldl_factor_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_ldl_factor_ex = torch.ops.aten.linalg_ldl_factor_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_ldl_factor_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_ldl_factor_ex = torch.ops.aten.linalg_ldl_factor_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_ldl_solve.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [1, s0], args_2: i32[s0], [1], args_3: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_ldl_solve = torch.ops.aten.linalg_ldl_solve.default(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_lu = torch.ops.aten.linalg_lu.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu_solve.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [1, s0], args_2: i32[s0], [1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_lu_solve = torch.ops.aten.linalg_lu_solve.default(args_1, args_2, args_3, adjoint = True);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]);  args_1 = None
        _linalg_svd = torch.ops.aten._linalg_svd.default(permute);  permute = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, 1], [1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0], [s0, 1], args_2: f32[s0, 1], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]);  args_1 = None
        _linalg_svd = torch.ops.aten._linalg_svd.default(permute);  permute = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]);  args_1 = None
        _linalg_svd = torch.ops.aten._linalg_svd.default(permute);  permute = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1, hermitian = True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_qr = torch.ops.aten.linalg_qr.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_slogdet.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_slogdet = torch.ops.aten._linalg_slogdet.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_solve_ex = torch.ops.aten._linalg_solve_ex.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_solve_ex = torch.ops.aten._linalg_solve_ex.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_solve_triangular.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, 1], [1, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_solve_triangular = torch.ops.aten.linalg_solve_triangular.default(args_1, args_2, upper = True, unitriangular = True);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_svd = torch.ops.aten._linalg_svd.default(args_1, True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _linalg_svd = torch.ops.aten._linalg_svd.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s1, s2, 1], [s0*s1*s2, s1*s2, s2, 1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        unsqueeze: f32[1], [0] = torch.ops.aten.unsqueeze.default(args_1, -1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.logaddexp2.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        logaddexp2 = torch.ops.aten.logaddexp2.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.logaddexp.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        logaddexp = torch.ops.aten.logaddexp.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.logcumsumexp.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        logcumsumexp = torch.ops.aten.logcumsumexp.default(args_1, 0);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logdet_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_cpu_float32 ___
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 483, in fn
    return if_true(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 1711, in _lu_with_infos
    result = _lu_impl(A, pivot, get_infos, out)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 1690, in _lu_impl
    return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/functional.py:1690, code: return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
        linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1);  args_1 = None
        
----------------------------- Captured stderr call -----------------------------
/scratch/ezyang/work/pytorch/torch/functional.py:1690: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
LU, pivots = torch.lu(A, compute_pivots)
should be replaced with
LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
and
LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
should be replaced with
LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /scratch/ezyang/work/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
  return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_lu_solve.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [1, s0], args_3: i32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_lu_solve = torch.ops.aten.linalg_lu_solve.default(args_2, args_3, args_1);  args_2 = args_3 = args_1 = None
        
----------------------------- Captured stderr call -----------------------------
/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
Note that torch.linalg.lu_solve has its arguments reversed.
X = torch.lu_solve(B, LU, pivots)
should be replaced with
X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /scratch/ezyang/work/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.)
  return fn(*args, **kwargs)
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.lu_unpack.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [1, s0], args_2: i32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        lu_unpack = torch.ops.aten.lu_unpack.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/masked/_ops.py", line 1196, in cumprod
    return torch.cumprod(mask_input, dim_, dtype=dtype).to(dtype=dtype)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.cumprod.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, kwargs_1: b8[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # No stacktrace found for following nodes
        _tensor_constant0 = self._tensor_constant0
        
        # File: /scratch/ezyang/work/pytorch/torch/masked/_ops.py:419, code: return torch.tensor(1, dtype=dtype, device=device)
        lift_fresh_copy: f32[], [] = torch.ops.aten.lift_fresh_copy.default(_tensor_constant0);  _tensor_constant0 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/masked/_ops.py:849, code: return torch.where(mask, input, fill_value)
        where: f32[s0], [1] = torch.ops.aten.where.self(kwargs_1, args_1, lift_fresh_copy);  kwargs_1 = args_1 = lift_fresh_copy = None
        
        # File: /scratch/ezyang/work/pytorch/torch/masked/_ops.py:1196, code: return torch.cumprod(mask_input, dim_, dtype=dtype).to(dtype=dtype)
        cumprod = torch.ops.aten.cumprod.default(where, 0, dtype = torch.float32);  where = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 853, in __torch_dispatch__
    return decomposition_table[func](*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_refs/__init__.py", line 4649, in masked_fill
    value = value.item()
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        masked_fill = torch.ops.aten.masked_fill.Tensor(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/masked/_ops.py", line 1496, in logaddexp
    return torch.logaddexp(mask_input, mask_other).to(dtype=dtype)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.logaddexp.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/masked/_ops.py:1496, code: return torch.logaddexp(mask_input, mask_other).to(dtype=dtype)
        logaddexp = torch.ops.aten.logaddexp.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.masked_scatter.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        masked_scatter = torch.ops.aten.masked_scatter.default(args_1, args_2, args_3);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.masked_select.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        masked_select = torch.ops.aten.masked_select.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_matrix_exp.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_matrix_exp = torch.ops.aten.linalg_matrix_exp.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_median_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.median.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        median = torch.ops.aten.median.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 489, in meshgrid
    return _meshgrid(*tensors, indexing=indexing)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 504, in _meshgrid
    return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 489, in meshgrid
    return _meshgrid(*tensors, indexing=indexing)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 504, in _meshgrid
    return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.min.dim - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        min_1 = torch.ops.aten.min.dim(args_1, 1);  args_1 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_mode_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.mode.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        mode = torch.ops.aten.mode.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14591, in <lambda>
    wrapper_set_seed(torch.multinomial, inp, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.multinomial.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:7795, code: return op(*args, **kwargs)
        multinomial = torch.ops.aten.multinomial.default(args_1, 3);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 853, in __torch_dispatch__
    return decomposition_table[func](*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_prims_common/wrappers.py", line 212, in _fn
    result = fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_refs/__init__.py", line 727, in nan_to_num
    posinf = prims.maximum_value(a.dtype)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: Cannot cast FakeTensor(FakeTensor(..., device='meta', size=()), cpu) to number
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        nan_to_num = torch.ops.aten.nan_to_num.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        scalar_tensor: f32[], [] = torch.ops.aten.scalar_tensor.default(0.5, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_narrow_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3: i64[], [], args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 483, in fn
    return if_true(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1080, in adaptive_max_pool1d_with_indices
    return torch.adaptive_max_pool1d(input, output_size)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s1], [s1**2, s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1080, code: return torch.adaptive_max_pool1d(input, output_size)
        unsqueeze: f32[s0, s1, 1, s1], [s1**2, s1, 0, 1] = torch.ops.aten.unsqueeze.default(args_1, -2);  args_1 = None
        adaptive_max_pool2d = torch.ops.aten.adaptive_max_pool2d.default(unsqueeze, [1, 3]);  unsqueeze = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 483, in fn
    return if_true(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1121, in adaptive_max_pool2d_with_indices
    return torch._C._nn.adaptive_max_pool2d(input, output_size)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s0, s0], [s0**3, s0**2, s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1121, code: return torch._C._nn.adaptive_max_pool2d(input, output_size)
        adaptive_max_pool2d = torch.ops.aten.adaptive_max_pool2d.default(args_1, [2, 3]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 483, in fn
    return if_true(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1162, in adaptive_max_pool3d_with_indices
    return torch._C._nn.adaptive_max_pool3d(input, output_size)
TypeError: adaptive_max_pool3d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 1
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s0, s1, s2], [s0**2*s1*s2, s0*s1*s2, s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.avg_pool3d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s1, s2, s2], [s1**2*s2**2, s1*s2**2, s2**2, s2, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        avg_pool3d = torch.ops.aten.avg_pool3d.default(args_1, [2, 2, 2]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s1], [1], args_3: f32[s2, s0, s1], [s0*s1, s1, 1], args_4: f32[s2], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3094, in binary_cross_entropy
    new_size = _infer_size(target.size(), weight.size())
RuntimeError: expected int at position 0, but got: SymInt
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3492, in cosine_embedding_loss
    return torch.cosine_embedding_loss(input1, input2, target, margin, reduction_enum)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.sqrt_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3492, code: return torch.cosine_embedding_loss(input1, input2, target, margin, reduction_enum)
        mul: f32[s0, s0], [s0, 1] = torch.ops.aten.mul.Tensor(args_1, args_2)
        sum_1: f32[s0], [1] = torch.ops.aten.sum.dim_IntList(mul, [1]);  mul = None
        mul_1: f32[s0, s0], [s0, 1] = torch.ops.aten.mul.Tensor(args_1, args_1);  args_1 = None
        sum_2: f32[s0], [1] = torch.ops.aten.sum.dim_IntList(mul_1, [1]);  mul_1 = None
        add: f32[s0], [1] = torch.ops.aten.add.Scalar(sum_2, 9.999999960041972e-13);  sum_2 = None
        mul_2: f32[s0, s0], [s0, 1] = torch.ops.aten.mul.Tensor(args_2, args_2);  args_2 = None
        sum_3: f32[s0], [1] = torch.ops.aten.sum.dim_IntList(mul_2, [1]);  mul_2 = None
        add_1: f32[s0], [1] = torch.ops.aten.add.Scalar(sum_3, 9.999999960041972e-13);  sum_3 = None
        mul_3: f32[s0], [1] = torch.ops.aten.mul.Tensor(add, add_1);  add = add_1 = None
        sqrt_ = torch.ops.aten.sqrt_.default(mul_3);  mul_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3028, in cross_entropy
    return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 2630, in ctc_loss
    return torch.ctc_loss(
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._ctc_loss.Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2: i64[s1, s3], [s3, 1], args_3: i64[s1], [1], args_4: i64[s1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:2630, code: return torch.ctc_loss(
        _ctc_loss = torch.ops.aten._ctc_loss.Tensor(args_1, args_2, args_3, args_4, 0, True);  args_1 = args_2 = args_3 = args_4 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 15892, in <lambda>
    op=lambda weight, idx, **kwargs: torch.nn.functional.embedding_bag(idx, weight, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 2392, in embedding_bag
    ret, _, _, _ = torch.embedding_bag(
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: i64[s1], [1], kwargs_1, kwargs_2: i64[s2], [1], kwargs_3, kwargs_4: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 15867, in <lambda>
    op=lambda weight, idx, **kwargs: torch.nn.functional.embedding(idx, weight, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 2210, in embedding
    return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
TypeError: embedding(): argument 'padding_idx' (position 3) must be int, not SymInt
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: i64[s1, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11394, in <lambda>
    wrapper_set_seed(torch.nn.functional.fractional_max_pool2d, input, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 485, in fn
    return if_false(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 503, in _fractional_max_pool2d
    return fractional_max_pool2d_with_indices(
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 481, in fractional_max_pool2d_with_indices
    _random_samples = torch.rand(n_batch, input.size(-3), 2, dtype=input.dtype, device=input.device)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s1, s1], [s0*s1**2, s1**2, s1, 1], args_2, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/utils/_pytree.py:244, code: return f(x)
        sym_size: Sym(1) = torch.ops.aten.sym_size(args_1, 0)
        sym_size_1: Sym(s0) = torch.ops.aten.sym_size(args_1, 1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:481, code: _random_samples = torch.rand(n_batch, input.size(-3), 2, dtype=input.dtype, device=input.device)
        rand = torch.ops.aten.rand.default([sym_size, sym_size_1, 2], dtype = torch.float32, device = device(type='cpu'), pin_memory = False);  sym_size = sym_size_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11415, in <lambda>
    wrapper_set_seed(torch.nn.functional.fractional_max_pool3d, input, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 485, in fn
    return if_false(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 608, in _fractional_max_pool3d
    return fractional_max_pool3d_with_indices(
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 586, in fractional_max_pool3d_with_indices
    _random_samples = torch.rand(n_batch, input.size(-4), 3, dtype=input.dtype, device=input.device)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2, s2, s2], [s1*s2**3, s2**3, s2**2, s2, 1], args_2, args_3, args_4, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/utils/_pytree.py:244, code: return f(x)
        sym_size: Sym(s0) = torch.ops.aten.sym_size(args_1, 0)
        sym_size_1: Sym(s1) = torch.ops.aten.sym_size(args_1, 1);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:586, code: _random_samples = torch.rand(n_batch, input.size(-4), 3, dtype=input.dtype, device=input.device)
        rand = torch.ops.aten.rand.default([sym_size, sym_size_1, 3], dtype = torch.float32, device = device(type='cpu'), pin_memory = False);  sym_size = sym_size_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 2835, in gaussian_nll_loss
    if torch.any(var < 0):
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call
    raise RuntimeError(
RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten._local_scalar_dense.default - erroring out! It's likely that this is caused by data-dependent control flow or similar.
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], args_3: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:2835, code: if torch.any(var < 0):
        lt: b8[s0], [1] = torch.ops.aten.lt.Scalar(args_3, 0);  args_3 = None
        any_1: b8[], [] = torch.ops.aten.any.default(lt);  lt = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 4241, in grid_sample
    return torch.grid_sampler(input, grid, mode_enum, padding_mode_enum, align_corners)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 853, in __torch_dispatch__
    return decomposition_table[func](*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_decomp/decompositions.py", line 68, in inner
    r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs))
  File "/scratch/ezyang/work/pytorch/torch/_decomp/decompositions.py", line 2127, in grid_sampler_2d
    ix_nearest = ix.round()
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.round.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2, s2], [s1*s2**2, s2**2, s2, 1], args_2: f32[s0, s2, s2, s0], [s0*s2**2, s0*s2, s0, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:4241, code: return torch.grid_sampler(input, grid, mode_enum, padding_mode_enum, align_corners)
        grid_sampler_2d = torch.ops.aten.grid_sampler_2d.default(args_1, args_2, 1, 0, False);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3363, in hinge_embedding_loss
    return torch.hinge_embedding_loss(input, target, margin, reduction_enum)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.clamp_min_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3363, code: return torch.hinge_embedding_loss(input, target, margin, reduction_enum)
        zeros_like: f32[s0], [1] = torch.ops.aten.zeros_like.default(args_1, memory_format = torch.contiguous_format)
        empty_like: f32[s0], [1] = torch.ops.aten.empty_like.default(args_1, memory_format = torch.preserve_format)
        fill_: f32[s0], [1] = torch.ops.aten.fill_.Scalar(empty_like, 8.396163642458497)
        sub_: f32[s0], [1] = torch.ops.aten.sub_.Tensor(empty_like, args_1);  args_1 = None
        clamp_min_ = torch.ops.aten.clamp_min_.default(empty_like, 0);  empty_like = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3941, in interpolate
    return adaptive_avg_pool1d(input, output_size)
TypeError: adaptive_avg_pool1d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 0
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3964, in interpolate
    return torch._C._nn.upsample_bicubic2d(input, output_size, align_corners, scale_factors)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2, s2], [s1*s2**2, s2**2, s2, 1], args_2, args_3, args_4, args_5, args_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3951, in interpolate
    return torch._C._nn.upsample_linear1d(input, output_size, align_corners, scale_factors)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3926, in interpolate
    return torch._C._nn.upsample_nearest1d(input, output_size, scale_factors)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3959, in interpolate
    return torch._C._nn.upsample_trilinear3d(input, output_size, align_corners, scale_factors)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2, s2, s2], [s1*s2**3, s2**3, s2**2, s2, 1], args_2, args_3, args_4, args_5, args_6, args_7, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3333, in margin_ranking_loss
    return torch.margin_ranking_loss(input1, input2, target, margin, reduction_enum)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.clamp_min_.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s0], [1], args_3: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3333, code: return torch.margin_ranking_loss(input1, input2, target, margin, reduction_enum)
        sub: f32[s0], [1] = torch.ops.aten.sub.Tensor(args_1, args_2);  args_1 = args_2 = None
        neg: f32[s0], [1] = torch.ops.aten.neg.default(args_3);  args_3 = None
        mul: f32[s0], [1] = torch.ops.aten.mul.Tensor(neg, sub);  neg = sub = None
        add: f32[s0], [1] = torch.ops.aten.add.Scalar(mul, 0.0);  mul = None
        clamp_min_ = torch.ops.aten.clamp_min_.default(add, 0);  add = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 485, in fn
    return if_false(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 696, in _max_pool1d
    return torch.max_pool1d(input, kernel_size, stride, padding, dilation, ceil_mode)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_jit_internal.py", line 483, in fn
    return if_true(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 843, in max_pool3d_with_indices
    return torch._C._nn.max_pool3d_with_indices(input, kernel_size, stride, padding, dilation, ceil_mode)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.max_pool3d_with_indices.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s1, s2, s3], [s0*s1*s2*s3, s1*s2*s3, s2*s3, s3, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:843, code: return torch._C._nn.max_pool3d_with_indices(input, kernel_size, stride, padding, dilation, ceil_mode)
        max_pool3d_with_indices = torch.ops.aten.max_pool3d_with_indices.default(args_1, [3, 3, 3], [2, 2, 2], [0, 0, 0], [1, 1, 1], True);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 948, in max_unpool1d
    return torch._C._nn.max_unpool2d(input.unsqueeze(-1), indices.unsqueeze(-1), output_size).squeeze(-1)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, 1], [s0, 1, 1], args_2: i64[1, s0, 1], [s0, 1, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:948, code: return torch._C._nn.max_unpool2d(input.unsqueeze(-1), indices.unsqueeze(-1), output_size).squeeze(-1)
        unsqueeze: f32[1, s0, 1, 1], [s0, 1, 1, 0] = torch.ops.aten.unsqueeze.default(args_1, -1);  args_1 = None
        unsqueeze_1: i64[1, s0, 1, 1], [s0, 1, 1, 0] = torch.ops.aten.unsqueeze.default(args_2, -1);  args_2 = None
        max_unpool2d = torch.ops.aten.max_unpool2d.default(unsqueeze, unsqueeze_1, [3, 1]);  unsqueeze = unsqueeze_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 980, in max_unpool2d
    return torch._C._nn.max_unpool2d(input, indices, output_size)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, 1, s0], [s0**2, s0, s0, 1], args_2: i64[1, s0, 1, s0], [s0**2, s0, s0, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, kwargs_7, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:980, code: return torch._C._nn.max_unpool2d(input, indices, output_size)
        max_unpool2d = torch.ops.aten.max_unpool2d.default(args_1, args_2, [3, 6]);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1012, in max_unpool3d
    return torch._C._nn.max_unpool3d(input, indices, output_size, _stride, padding)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.max_unpool3d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, 1, s0, s0], [s0**3, s0**2, s0**2, s0, 1], args_2: i64[1, s0, 1, s0, s0], [s0**3, s0**2, s0**2, s0, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, kwargs_7, kwargs_8, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1012, code: return torch._C._nn.max_unpool3d(input, indices, output_size, _stride, padding)
        max_unpool3d = torch.ops.aten.max_unpool3d.default(args_1, args_2, [3, 6, 5], [2, 2, 2], [0, 0, 0]);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3532, in multi_margin_loss
    return torch._C._nn.multi_margin_loss(input, target, p, margin, weight, reduction_enum)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.multi_margin_loss.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: i64[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3532, code: return torch._C._nn.multi_margin_loss(input, target, p, margin, weight, reduction_enum)
        multi_margin_loss = torch.ops.aten.multi_margin_loss.default(args_1, args_2, 1, 1.0);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3391, in multilabel_margin_loss
    return torch._C._nn.multilabel_margin_loss(input, target, reduction_enum)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.multilabel_margin_loss_forward.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: i64[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3391, code: return torch._C._nn.multilabel_margin_loss(input, target, reduction_enum)
        multilabel_margin_loss_forward = torch.ops.aten.multilabel_margin_loss_forward.default(args_1, args_2, 1);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.reflection_pad1d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0], [s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        reflection_pad1d = torch.ops.aten.reflection_pad1d.default(args_1, [1, 2]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.replication_pad1d.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0], [s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        replication_pad1d = torch.ops.aten.replication_pad1d.default(args_1, [1, 2]);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._pdist_forward.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, 1], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        _pdist_forward = torch.ops.aten._pdist_forward.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.pixel_shuffle.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, s0, s1, s1], [s0*s1**2, s1**2, s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        pixel_shuffle = torch.ops.aten.pixel_shuffle.default(args_1, 1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.pixel_unshuffle.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, 1, s0, s0], [s0**2, s0**2, s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        pixel_unshuffle = torch.ops.aten.pixel_unshuffle.default(args_1, 1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11729, in <lambda>
    wrapper_set_seed(torch.nn.functional.rrelu, input, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 1682, in rrelu
    result = torch.rrelu(input, lower, upper, training)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rrelu_with_noise.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:1682, code: result = torch.rrelu(input, lower, upper, training)
        empty_like: f32[s0], [1] = torch.ops.aten.empty_like.default(args_1, memory_format = torch.contiguous_format)
        rrelu_with_noise = torch.ops.aten.rrelu_with_noise.default(args_1, empty_like, 0.0, 1.0, True);  args_1 = empty_like = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3202, in smooth_l1_loss
    return torch._C._nn.smooth_l1_loss(expanded_input, expanded_target, _Reduction.get_enum(reduction), beta)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.smooth_l1_loss.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/nn/functional.py:3202, code: return torch._C._nn.smooth_l1_loss(expanded_input, expanded_target, _Reduction.get_enum(reduction), beta)
        smooth_l1_loss = torch.ops.aten.smooth_l1_loss.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 4021, in upsample_nearest
    return interpolate(input, size, scale_factor, mode="nearest")
  File "/scratch/ezyang/work/pytorch/torch/nn/functional.py", line 3926, in interpolate
    return torch._C._nn.upsample_nearest1d(input, output_size, scale_factors)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
----------------------------- Captured stderr call -----------------------------
/scratch/ezyang/work/pytorch/torch/nn/functional.py:4020: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
  warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.nonzero.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        nonzero = torch.ops.aten.nonzero.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/functional.py", line 1522, in norm
    return _VF.nuclear_norm(input, keepdim=keepdim)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/functional.py:1522, code: return _VF.nuclear_norm(input, keepdim=keepdim)
        permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]);  args_1 = None
        _linalg_svd = torch.ops.aten._linalg_svd.default(permute);  permute = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_normal_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14612, in <lambda>
    wrapper_set_seed(torch.normal, inp, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.normal.Tensor_Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:7795, code: return op(*args, **kwargs)
        normal = torch.ops.aten.normal.Tensor_Tensor(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14635, in <lambda>
    wrapper_set_seed(torch.normal, mean, std, *args, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.normal.float_Tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s1], [s1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:7795, code: return op(*args, **kwargs)
        normal = torch.ops.aten.normal.float_Tensor(0.3, args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.ormqr.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [1, s0], args_2: f32[s0], [1], args_3: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        ormqr = torch.ops.aten.ormqr.default(args_1, args_2, args_3, True, True);  args_1 = args_2 = args_3 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_outer_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], args_2: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        pass
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13524, in <lambda>
    op=lambda *args, **kwargs: wrapper_set_seed(
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7795, in wrapper_set_seed
    return op(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13525, in <lambda>
    lambda a, b, **kwargs: torch.pca_lowrank(a @ b.mT, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/_lowrank.py", line 275, in pca_lowrank
    return _svd_lowrank(A, q, niter=niter, M=None)
  File "/scratch/ezyang/work/pytorch/torch/_lowrank.py", line 161, in _svd_lowrank
    Q = get_approximate_basis(A_t, q, niter=niter, M=M_t)
  File "/scratch/ezyang/work/pytorch/torch/_lowrank.py", line 70, in get_approximate_basis
    Q = torch.linalg.qr(matmul(A, R)).Q
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[1, 0], [1, 1], args_2: f32[1, 0], [1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13525, code: lambda a, b, **kwargs: torch.pca_lowrank(a @ b.mT, **kwargs),
        transpose: f32[0, 1], [1, 1] = torch.ops.aten.transpose.int(args_2, -2, -1);  args_2 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/_decomp/decompositions.py:2272, code: return torch.mm(tensor1, tensor2)
        mm: f32[1, 1], [1, 1] = torch.ops.aten.mm.default(args_1, transpose);  transpose = None
        
        # File: /scratch/ezyang/work/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2)
        transpose_1: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(mm, 1, 0);  mm = None
        
        # File: /scratch/ezyang/work/pytorch/torch/utils/_pytree.py:244, code: return f(x)
        sym_size: Sym(1) = torch.ops.aten.sym_size(args_1, 0);  args_1 = None
        
        # File: /scratch/ezyang/work/pytorch/torch/_lowrank.py:64, code: R = torch.randn(n, q, dtype=dtype, device=A.device)
        randn: f32[1, 0], [1, 1] = torch.ops.aten.randn.default([sym_size, 0], dtype = torch.float32, device = device(type='cpu'), pin_memory = False);  sym_size = None
        detach: f32[1, 0], [1, 1] = torch.ops.aten.detach.default(randn);  randn = None
        
        # File: /scratch/ezyang/work/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2)
        transpose_2: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(transpose_1, 1, 0)
        
        # File: /scratch/ezyang/work/pytorch/torch/_decomp/decompositions.py:2272, code: return torch.mm(tensor1, tensor2)
        mm_1: f32[1, 0], [1, 1] = torch.ops.aten.mm.default(transpose_1, detach);  transpose_1 = detach = None
        
        # File: /scratch/ezyang/work/pytorch/torch/_lowrank.py:70, code: Q = torch.linalg.qr(matmul(A, R)).Q
        linalg_qr = torch.ops.aten.linalg_qr.default(mm_1);  mm_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        full: f64[], [] = torch.ops.aten.full.default([], 0.0, dtype = torch.float64, layout = torch.strided, device = device(type='cpu'))
        full_1: f64[], [] = torch.ops.aten.full.default([], 1e-15, dtype = torch.float64, layout = torch.strided, device = device(type='cpu'))
        linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1, atol = full, rtol = full_1);  args_1 = full = full_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polar_cpu_float32 __
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polar.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        polar = torch.ops.aten.polar.default(args_1, args_2);  args_1 = args_2 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13571, in <lambda>
    op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13571, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
        polygamma = torch.ops.aten.polygamma.default(1, args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13584, in <lambda>
    op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13584, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
        polygamma = torch.ops.aten.polygamma.default(1, args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13607, in <lambda>
    op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13607, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
        polygamma = torch.ops.aten.polygamma.default(1, args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13632, in <lambda>
    op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13632, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
        polygamma = torch.ops.aten.polygamma.default(1, args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13653, in <lambda>
    op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/torch/testing/_internal/common_methods_invocations.py:13653, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs),
        polygamma = torch.ops.aten.polygamma.default(1, args_1);  args_1 = None
        
__ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_put_cpu_float32 ___
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.put.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], args_2: i64[s0], [1], args_3: f32[s0], [1], args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        put = torch.ops.aten.put.default(args_1, args_2, args_3, True);  args_1 = args_2 = args_3 = None
        
___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_qr_cpu_float32 ___
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        linalg_qr = torch.ops.aten.linalg_qr.default(args_1);  args_1 = None
        
----------------------------- Captured stderr call -----------------------------
/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
The boolean parameter 'some' has been replaced with a string parameter 'mode'.
Q, R = torch.qr(A, some)
should be replaced with
Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /scratch/ezyang/work/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
  return fn(*args, **kwargs)
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_quantile_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[], [], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        scalar_tensor: f32[], [] = torch.ops.aten.scalar_tensor.default(0.5, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__
    raise RuntimeError(
RuntimeError: aten.rad2deg.default - couldn't find symbolic meta function/decomposition
----------------------------- Captured stdout call -----------------------------
incomplete graph: 
class f(torch.nn.Module):
    def forward(self, args, kwargs, extra_args):
        args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args], self._in_spec)
        # File: /scratch/ezyang/work/pytorch/test/test_proxy_tensor.py:1529, code: return fn(*args, **kwargs)
        rad2deg = torch.ops.aten.rad2deg.default(args_1);  args_1 = None
        
_ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_renorm_cpu_float32 _
Traceback (most recent call last):
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1582, in test_make_fx_symbolic_exhaustive
    _test_make_fx_helper(self, device, dtype, op, "symbolic")
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1553, in _test_make_fx_helper
    new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 665, in wrapped
    t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 422, in dispatch_trace
    graph = tracer.trace(root, concrete_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace
    (self.create_arg(fn(*args)),),
  File "/scratch/ezyang/work/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn
    tree_out = root_fn(*tree_args)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 439, in wrapped
    out = f(*tensors)
  File "/scratch/ezyang/work/pytorch/test/test_proxy_tensor.py", line 1529, in f
    return fn(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 465, in __torch_dispatch__
    return self.inner_torch_dispatch(func, types, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 490, in inner_torch_dispatch
    out = proxy_call(self, func, args, kwargs)
  File "/scratch/ezyang/work/pytorch/torch/fx/experimental/proxy_tensor.py", line 323, in proxy_call
    out = func(*args, **kwargs)
  File "/scratch/ezyang/work/pytorch/torch/_ops.py", line 284, in __call__
    return self._op(*args, **kwargs or {})
  File "/scratch/ezyang/work/pytorch/torch/_subclasses/fake_tensor.py", line 874, in __torch_dispatch__