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| /home/ezyang/local/b/pytorch-env/lib/python3.9/site-packages/pytest_csv/_reporter.py:38: PytestDeprecationWarning: The hookimpl CSVReporter.pytest_runtest_makereport uses old-style configuration options (marks or attributes). | |
| Please use the pytest.hookimpl(hookwrapper=True) decorator instead | |
| to configure the hooks. | |
| See https://docs.pytest.org/en/latest/deprecations.html#configuring-hook-specs-impls-using-markers | |
| @pytest.mark.hookwrapper | |
| ============================= test session starts ============================== | |
| platform linux -- Python 3.9.15, pytest-7.2.0, pluggy-1.0.0 -- /home/ezyang/local/b/pytorch-env/bin/python | |
| cachedir: .pytest_cache | |
| benchmark: 4.0.0 (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('/data/users/ezyang/b/pytorch/.hypothesis/examples') | |
| rootdir: /data/users/ezyang/b/pytorch, configfile: pytest.ini | |
| plugins: benchmark-4.0.0, hydra-core-1.1.2, hypothesis-6.57.1, csv-3.0.0 | |
| collecting ... collected 1297 items / 679 deselected / 618 selected | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_H_cpu_float32 FAILED [ 0%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_T_cpu_float32 FAILED [ 0%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___radd___cpu_float32 PASSED [ 0%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rdiv___cpu_float32 PASSED [ 0%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rmatmul___cpu_float32 FAILED [ 0%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rmod___cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rmul___cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rpow___cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rsub___cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive__softmax_backward_data_cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_abs_cpu_float32 PASSED [ 1%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_acos_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_acosh_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_add_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addbmm_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addcdiv_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addcmul_cpu_float32 PASSED [ 2%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addmm_cpu_float32 PASSED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addmm_decomposed_cpu_float32 PASSED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addmv_cpu_float32 FAILED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addr_cpu_float32 FAILED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_all_cpu_float32 SKIPPED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_allclose_cpu_float32 SKIPPED [ 3%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_amax_cpu_float32 FAILED [ 4%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_amin_cpu_float32 FAILED [ 4%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_aminmax_cpu_float32 SKIPPED [ 4%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_angle_cpu_float32 PASSED [ 4%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_any_cpu_float32 SKIPPED [ 4%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_arange_cpu_float32 SKIPPED [ 4%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_argmin_cpu_float32 SKIPPED [ 5%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_argwhere_cpu_float32 SKIPPED [ 5%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_asin_cpu_float32 PASSED [ 5%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_asinh_cpu_float32 PASSED [ 6%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atan2_cpu_float32 PASSED [ 6%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atanh_cpu_float32 PASSED [ 6%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_2d_cpu_float32 FAILED [ 6%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_3d_cpu_float32 FAILED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_baddbmm_cpu_float32 FAILED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_bernoulli_cpu_float32 PASSED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_bfloat16_cpu_float32 PASSED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_block_diag_cpu_float32 FAILED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_bmm_cpu_float32 PASSED [ 7%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_bool_cpu_float32 SKIPPED [ 8%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_shapes_cpu_float32 SKIPPED [ 8%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_tensors_cpu_float32 FAILED [ 8%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_to_cpu_float32 FAILED [ 8%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cartesian_prod_cpu_float32 FAILED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cat_cpu_float32 PASSED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cdist_cpu_float32 FAILED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cdouble_cpu_float32 PASSED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ceil_cpu_float32 PASSED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cfloat_cpu_float32 PASSED [ 9%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_chalf_cpu_float32 XFAIL [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_char_cpu_float32 SKIPPED [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cholesky_cpu_float32 XFAIL [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cholesky_inverse_cpu_float32 FAILED [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cholesky_solve_cpu_float32 FAILED [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_chunk_cpu_float32 FAILED [ 10%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_clamp_cpu_float32 PASSED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_clamp_max_cpu_float32 PASSED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_clamp_min_cpu_float32 PASSED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_clone_cpu_float32 PASSED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_column_stack_cpu_float32 FAILED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_combinations_cpu_float32 FAILED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_complex_cpu_float32 PASSED [ 11%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_conj_cpu_float32 PASSED [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_conj_physical_cpu_float32 PASSED [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_constant_pad_nd_cpu_float32 PASSED [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_contiguous_cpu_float32 PASSED [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_copysign_cpu_float32 PASSED [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_corrcoef_cpu_float32 XFAIL [ 12%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cos_cpu_float32 PASSED [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cosh_cpu_float32 PASSED [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_count_nonzero_cpu_float32 SKIPPED [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cov_cpu_float32 XFAIL [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cross_cpu_float32 FAILED [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32 FAILED [ 13%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cummin_cpu_float32 FAILED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumprod_cpu_float32 FAILED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumsum_cpu_float32 FAILED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 FAILED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_deg2rad_cpu_float32 PASSED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diag_cpu_float32 PASSED [ 14%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diag_embed_cpu_float32 PASSED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagflat_cpu_float32 PASSED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagonal_copy_cpu_float32 PASSED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagonal_cpu_float32 FAILED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagonal_scatter_cpu_float32 PASSED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diff_cpu_float32 FAILED [ 15%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_digamma_cpu_float32 FAILED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dist_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_floor_rounding_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_trunc_rounding_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dot_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_double_cpu_float32 PASSED [ 16%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32 FAILED [ 17%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dstack_cpu_float32 PASSED [ 17%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_einsum_cpu_float32 PASSED [ 17%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_empty_cpu_float32 SKIPPED [ 17%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_empty_like_cpu_float32 SKIPPED [ 17%] | |
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| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_equal_cpu_float32 SKIPPED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_erf_cpu_float32 PASSED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_erfc_cpu_float32 PASSED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_erfinv_cpu_float32 PASSED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_exp2_cpu_float32 PASSED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_exp_cpu_float32 PASSED [ 18%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expand_as_cpu_float32 FAILED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expand_cpu_float32 FAILED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expm1_cpu_float32 PASSED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_eye_cpu_float32 SKIPPED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft2_cpu_float32 FAILED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft_cpu_float32 FAILED [ 19%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fftn_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fftshift_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfft2_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfft_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfftn_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifft2_cpu_float32 FAILED [ 20%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifft_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifftn_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifftshift_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfft2_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfft_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfftn_cpu_float32 FAILED [ 21%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfft2_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfft_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfftn_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfft2_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfft_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfftn_cpu_float32 FAILED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fill_cpu_float32 PASSED [ 22%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_flatten_cpu_float32 FAILED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_flip_cpu_float32 PASSED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fliplr_cpu_float32 PASSED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_flipud_cpu_float32 PASSED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_float_cpu_float32 PASSED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_float_power_cpu_float32 PASSED [ 23%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_floor_cpu_float32 PASSED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_floor_divide_cpu_float32 SKIPPED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fmax_cpu_float32 PASSED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fmin_cpu_float32 PASSED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fmod_cpu_float32 PASSED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_frac_cpu_float32 PASSED [ 24%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_frexp_cpu_float32 FAILED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_full_cpu_float32 SKIPPED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_full_like_cpu_float32 SKIPPED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gather_cpu_float32 PASSED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ge_cpu_float32 SKIPPED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_geqrf_cpu_float32 SKIPPED [ 25%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gradient_cpu_float32 FAILED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_grid_sampler_2d_cpu_float32 PASSED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gt_cpu_float32 SKIPPED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_half_cpu_float32 PASSED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_heaviside_cpu_float32 SKIPPED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_histc_cpu_float32 SKIPPED [ 26%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_histogram_cpu_float32 SKIPPED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_histogramdd_cpu_float32 SKIPPED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hsplit_cpu_float32 FAILED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hstack_cpu_float32 PASSED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hypot_cpu_float32 PASSED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_i0_cpu_float32 FAILED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_igamma_cpu_float32 SKIPPED [ 27%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_igammac_cpu_float32 SKIPPED [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_add_cpu_float32 PASSED [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_copy_cpu_float32 PASSED [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_fill_cpu_float32 PASSED [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_put_cpu_float32 SKIPPED [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_reduce_cpu_float32 XFAIL [ 28%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_select_cpu_float32 PASSED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_inner_cpu_float32 FAILED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_int_cpu_float32 SKIPPED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isclose_cpu_float32 SKIPPED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isfinite_cpu_float32 SKIPPED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isin_cpu_float32 SKIPPED [ 29%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isinf_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isnan_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isneginf_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isposinf_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isreal_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED [ 30%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_binary_cpu_float32 SKIPPED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_unary_cpu_float32 SKIPPED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_kron_cpu_float32 FAILED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_kthvalue_cpu_float32 FAILED [ 31%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ldexp_cpu_float32 PASSED [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_le_cpu_float32 SKIPPED [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lerp_cpu_float32 PASSED [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lgamma_cpu_float32 PASSED [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cholesky_cpu_float32 XFAIL [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 FAILED [ 32%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cond_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cross_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_det_singular_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eig_cpu_float32 XFAIL [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigvals_cpu_float32 FAILED [ 33%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 FAILED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_householder_product_cpu_float32 SKIPPED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32 FAILED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_inv_ex_cpu_float32 FAILED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 SKIPPED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 SKIPPED [ 34%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 SKIPPED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lstsq_cpu_float32 SKIPPED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 SKIPPED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32 FAILED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32 FAILED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 FAILED [ 35%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_solve_cpu_float32 SKIPPED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 FAILED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_power_cpu_float32 FAILED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 SKIPPED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 SKIPPED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_multi_dot_cpu_float32 FAILED [ 36%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_norm_cpu_float32 FAILED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 FAILED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_cpu_float32 FAILED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 FAILED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 SKIPPED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32 FAILED [ 37%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_ex_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_svd_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_svdvals_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_tensorinv_cpu_float32 FAILED [ 38%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 FAILED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_vander_cpu_float32 FAILED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_vecdot_cpu_float32 PASSED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_vector_norm_cpu_float32 PASSED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linspace_cpu_float32 SKIPPED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log10_cpu_float32 PASSED [ 39%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log1p_cpu_float32 PASSED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log2_cpu_float32 PASSED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_cpu_float32 PASSED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_softmax_cpu_float32 PASSED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 PASSED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32 FAILED [ 40%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logaddexp_cpu_float32 FAILED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32 FAILED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logdet_cpu_float32 FAILED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_and_cpu_float32 SKIPPED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_not_cpu_float32 SKIPPED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_or_cpu_float32 SKIPPED [ 41%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_xor_cpu_float32 SKIPPED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logit_cpu_float32 PASSED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logspace_cpu_float32 SKIPPED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logsumexp_cpu_float32 FAILED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_long_cpu_float32 SKIPPED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lt_cpu_float32 SKIPPED [ 42%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mH_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mT_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_amax_cpu_float32 FAILED [ 43%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_amin_cpu_float32 FAILED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_argmax_cpu_float32 SKIPPED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_argmin_cpu_float32 SKIPPED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumprod_cpu_float32 FAILED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumsum_cpu_float32 FAILED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_fill_cpu_float32 FAILED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_log_softmax_cpu_float32 PASSED [ 44%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_logaddexp_cpu_float32 FAILED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_logsumexp_cpu_float32 FAILED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_mean_cpu_float32 PASSED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_median_cpu_float32 PASSED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_norm_cpu_float32 PASSED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_normalize_cpu_float32 PASSED [ 45%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_prod_cpu_float32 FAILED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_scatter_cpu_float32 FAILED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_select_cpu_float32 SKIPPED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_softmax_cpu_float32 PASSED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_softmin_cpu_float32 PASSED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_std_cpu_float32 PASSED [ 46%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_sum_cpu_float32 PASSED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_var_cpu_float32 PASSED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_matmul_cpu_float32 FAILED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_matrix_exp_cpu_float32 FAILED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_max_binary_cpu_float32 PASSED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32 SKIPPED [ 47%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 PASSED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 PASSED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_maximum_cpu_float32 PASSED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mean_cpu_float32 PASSED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_median_cpu_float32 FAILED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 FAILED [ 48%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 FAILED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_min_binary_cpu_float32 PASSED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 PASSED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 FAILED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_minimum_cpu_float32 PASSED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mm_cpu_float32 PASSED [ 49%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mode_cpu_float32 FAILED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_movedim_cpu_float32 FAILED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_msort_cpu_float32 PASSED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mul_cpu_float32 PASSED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_multinomial_cpu_float32 SKIPPED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mv_cpu_float32 FAILED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 50%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nan_to_num_cpu_float32 PASSED [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanmean_cpu_float32 PASSED [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanmedian_cpu_float32 PASSED [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanquantile_cpu_float32 XFAIL [ 51%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nansum_cpu_float32 PASSED [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_narrow_copy_cpu_float32 SKIPPED [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_narrow_cpu_float32 XFAIL [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_batch_norm_cpu_float32 PASSED [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_dropout_backward_cpu_float32 PASSED [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_layer_norm_cpu_float32 PASSED [ 52%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ne_cpu_float32 SKIPPED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_neg_cpu_float32 PASSED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_empty_cpu_float32 SKIPPED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_empty_strided_cpu_float32 SKIPPED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_full_cpu_float32 SKIPPED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_ones_cpu_float32 SKIPPED [ 53%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_zeros_cpu_float32 SKIPPED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nextafter_cpu_float32 SKIPPED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 FAILED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 FAILED [ 54%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 FAILED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 FAILED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 FAILED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32 PASSED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 PASSED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 PASSED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 FAILED [ 55%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 SKIPPED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 FAILED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 FAILED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 SKIPPED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_celu_cpu_float32 PASSED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 PASSED [ 56%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 PASSED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 FAILED [ 57%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 FAILED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 SKIPPED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 PASSED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 FAILED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout_cpu_float32 PASSED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_elu_cpu_float32 PASSED [ 58%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 FAILED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_cpu_float32 PASSED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 FAILED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 FAILED [ 59%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 XFAIL [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_gelu_cpu_float32 PASSED [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_glu_cpu_float32 PASSED [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 FAILED [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 FAILED [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 PASSED [ 60%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 PASSED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 FAILED [ 61%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 FAILED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 PASSED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 FAILED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 FAILED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 FAILED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 PASSED [ 62%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_linear_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 PASSED [ 63%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 SKIPPED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 FAILED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 PASSED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 FAILED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 FAILED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 FAILED [ 64%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 FAILED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 FAILED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 FAILED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 FAILED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_mish_cpu_float32 PASSED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 PASSED [ 65%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 FAILED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 FAILED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 FAILED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_normalize_cpu_float32 PASSED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 PASSED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 PASSED [ 66%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 FAILED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 FAILED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 PASSED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pdist_cpu_float32 FAILED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 FAILED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 FAILED [ 67%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32 FAILED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_relu6_cpu_float32 PASSED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_relu_cpu_float32 PASSED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 FAILED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_selu_cpu_float32 PASSED [ 68%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_silu_cpu_float32 PASSED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 FAILED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_cpu_float32 PASSED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softplus_cpu_float32 PASSED [ 69%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softsign_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_threshold_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 70%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_unfold_cpu_float32 PASSED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 FAILED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nonzero_cpu_float32 SKIPPED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_cpu_float32 PASSED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_fro_cpu_float32 PASSED [ 71%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_inf_cpu_float32 PASSED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_nuc_cpu_float32 FAILED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_normal_cpu_float32 FAILED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32 FAILED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ones_cpu_float32 SKIPPED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ones_like_cpu_float32 SKIPPED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ormqr_cpu_float32 FAILED [ 72%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_outer_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pca_lowrank_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_permute_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polar_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 FAILED [ 73%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 FAILED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 FAILED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 FAILED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 FAILED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_positive_cpu_float32 PASSED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pow_cpu_float32 PASSED [ 74%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_prod_cpu_float32 FAILED [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_put_cpu_float32 FAILED [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_qr_cpu_float32 FAILED [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_quantile_cpu_float32 XFAIL [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rad2deg_cpu_float32 PASSED [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rand_like_cpu_float32 SKIPPED [ 75%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randint_cpu_float32 SKIPPED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randint_like_cpu_float32 SKIPPED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randn_cpu_float32 SKIPPED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randn_like_cpu_float32 SKIPPED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ravel_cpu_float32 FAILED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_real_cpu_float32 PASSED [ 76%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reciprocal_cpu_float32 PASSED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_remainder_cpu_float32 PASSED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32 FAILED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_repeat_cpu_float32 PASSED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_repeat_interleave_cpu_float32 SKIPPED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_as_cpu_float32 FAILED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32 FAILED [ 77%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resize__cpu_float32 SKIPPED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resize_as__cpu_float32 SKIPPED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resolve_conj_cpu_float32 PASSED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resolve_neg_cpu_float32 PASSED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_roll_cpu_float32 FAILED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rot90_cpu_float32 PASSED [ 78%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_decimals_0_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_decimals_3_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rsqrt_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rsub_cpu_float32 PASSED [ 79%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scalar_tensor_cpu_float32 SKIPPED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_add_cpu_float32 PASSED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_cpu_float32 PASSED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 PASSED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 PASSED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 PASSED [ 80%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 XFAIL [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 PASSED [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_searchsorted_cpu_float32 SKIPPED [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 FAILED [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 FAILED [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_cpu_float32 FAILED [ 81%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_scatter_cpu_float32 PASSED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32 FAILED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_short_cpu_float32 SKIPPED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sigmoid_cpu_float32 PASSED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sign_cpu_float32 PASSED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_cosine_cpu_float32 SKIPPED [ 82%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_exponential_cpu_float32 SKIPPED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 SKIPPED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 SKIPPED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signbit_cpu_float32 SKIPPED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sin_cpu_float32 PASSED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinc_cpu_float32 PASSED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinh_cpu_float32 PASSED [ 83%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_slice_cpu_float32 FAILED [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_slice_scatter_cpu_float32 PASSED [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_softmax_cpu_float32 PASSED [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_softmax_with_dtype_cpu_float32 PASSED [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sort_cpu_float32 PASSED [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 XFAIL [ 84%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_airy_ai_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_bessel_j0_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_bessel_j1_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_bessel_y0_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_bessel_y1_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 85%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_entr_cpu_float32 PASSED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_erfcx_cpu_float32 PASSED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 SKIPPED [ 86%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 SKIPPED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i0e_cpu_float32 PASSED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32 FAILED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1e_cpu_float32 PASSED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 SKIPPED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 SKIPPED [ 87%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_log_ndtr_cpu_float32 PASSED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 SKIPPED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 SKIPPED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 SKIPPED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 SKIPPED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_ndtr_cpu_float32 PASSED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_ndtri_cpu_float32 PASSED [ 88%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 FAILED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 SKIPPED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 SKIPPED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 89%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 SKIPPED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_xlog1py_cpu_float32 PASSED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_zeta_cpu_float32 SKIPPED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_cpu_float32 FAILED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32 FAILED [ 90%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_with_sizes_cpu_float32 FAILED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sqrt_cpu_float32 PASSED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_square_cpu_float32 PASSED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_squeeze_cpu_float32 FAILED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_stack_cpu_float32 PASSED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_cpu_float32 FAILED [ 91%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_mean_cpu_float32 FAILED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_stft_cpu_float32 FAILED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sub_cpu_float32 PASSED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sum_cpu_float32 PASSED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sum_to_size_cpu_float32 FAILED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_cpu_float32 FAILED [ 92%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32 FAILED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_symeig_cpu_float32 FAILED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_t_cpu_float32 FAILED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32 FAILED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_cpu_float32 FAILED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tan_cpu_float32 PASSED [ 93%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tanh_cpu_float32 PASSED [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tensor_split_cpu_float32 XFAIL [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tensordot_cpu_float32 FAILED [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tile_cpu_float32 PASSED [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_to_cpu_float32 FAILED [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_to_sparse_cpu_float32 XFAIL [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_topk_cpu_float32 PASSED [ 94%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trace_cpu_float32 FAILED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_transpose_cpu_float32 FAILED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32 FAILED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapz_cpu_float32 FAILED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32 FAILED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tril_cpu_float32 PASSED [ 95%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triu_cpu_float32 PASSED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_true_divide_cpu_float32 PASSED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trunc_cpu_float32 PASSED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unbind_cpu_float32 FAILED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32 FAILED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unfold_copy_cpu_float32 PASSED [ 96%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unfold_cpu_float32 FAILED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_uniform_cpu_float32 SKIPPED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unique_consecutive_cpu_float32 SKIPPED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unique_cpu_float32 SKIPPED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unsqueeze_cpu_float32 FAILED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_cpu_float32 FAILED [ 97%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_mean_cpu_float32 FAILED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vdot_cpu_float32 PASSED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_complex_cpu_float32 FAILED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32 FAILED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_copy_cpu_float32 PASSED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_cpu_float32 FAILED [ 98%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32 FAILED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vstack_cpu_float32 PASSED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_where_cpu_float32 PASSED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_xlogy_cpu_float32 PASSED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_zero__cpu_float32 PASSED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_zeros_cpu_float32 SKIPPED [ 99%] | |
| test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_zeros_like_cpu_float32 SKIPPED [100%] | |
| =================================== FAILURES =================================== | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_H_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_T_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive___getitem___cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive___rmatmul___cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], primals_2: f32[s1, s0], [s0, 1], tangents_1: f32[s1], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2276, code: return torch.mv(tensor1, tensor2) | |
| mv: f32[s1], [1] = torch.ops.aten.mv.default(primals_2, primals_1); primals_2 = primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(mv, tangents_1); mv = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_addmv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_addr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 845, in __torch_dispatch__ | |
| return decomposition_table[func](*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_prims_common/wrappers.py", line 209, in _fn | |
| result = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_prims_common/wrappers.py", line 119, in _fn | |
| result = fn(**bound.arguments) | |
| File "/data/users/ezyang/b/pytorch/torch/_refs/__init__.py", line 2444, in addr | |
| return beta * self + alpha * torch.outer(vec1, vec2) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 849, in __torch_dispatch__ | |
| r = func.decompose(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 319, in decompose | |
| return self._op_dk(dk, *args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_amax_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| amax: f32[s0], [1] = torch.ops.aten.amax.default(primals_1, [-1]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(amax, tangents_1); amax = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_amin_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| amin: f32[s0], [1] = torch.ops.aten.amin.default(primals_1, [-1]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(amin, tangents_1); amin = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_atleast_1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_atleast_2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_atleast_3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_baddbmm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_block_diag_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 1173, in block_diag | |
| return torch._C._VariableFunctions.block_diag(tensors) # type: ignore[attr-defined] | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_broadcast_tensors_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_broadcast_to_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cartesian_prod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/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 stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cdist_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cholesky_inverse_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.cholesky_inverse.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cholesky_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_chunk_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_column_stack_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_combinations_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cross_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cummin_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cumprod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cumsum_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| cumsum: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.cumsum.default(primals_1, 0); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(cumsum, tangents_1); cumsum = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], primals_2: f32[s0, s1], [s1, 1], tangents_1: f32[s0, s1 - 1], [s1 - 1, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| slice_1: f32[s0, s1 - 1], [s1, 1] = torch.ops.aten.slice.Tensor(primals_2, 1, 0, -1) | |
| slice_2: f32[s0, s1 - 1], [s1, 1] = torch.ops.aten.slice.Tensor(primals_2, 1, 1); primals_2 = None | |
| sub: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.sub.Tensor(slice_2, slice_1); slice_2 = slice_1 = None | |
| slice_3: f32[s0, s1 - 1], [s1, 1] = torch.ops.aten.slice.Tensor(primals_1, 1, 0, -1) | |
| slice_4: f32[s0, s1 - 1], [s1, 1] = torch.ops.aten.slice.Tensor(primals_1, 1, 1); primals_1 = None | |
| add: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.add.Tensor(slice_3, slice_4); slice_3 = slice_4 = None | |
| mul: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.mul.Tensor(add, sub); add = sub = None | |
| cumsum: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.cumsum.default(mul, 1); mul = None | |
| div: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.div.Scalar(cumsum, 2.0); cumsum = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(div, tangents_1); div = None | |
| # No stacktrace found for following nodes | |
| _tensor_constant0 = self._tensor_constant0 | |
| # Gradient addition node due to multiple use of tensor around: | |
| lift_fresh_copy: f64[], [] = torch.ops.aten.lift_fresh_copy.default(_tensor_constant0); _tensor_constant0 = None | |
| div_1: f32[s0, s1 - 1], [s1 - 1, 1] = torch.ops.aten.div.Tensor(tangents_1, lift_fresh_copy); tangents_1 = lift_fresh_copy = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_diagonal_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_diff_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_digamma_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| digamma: f32[s0], [1] = torch.ops.aten.digamma.default(primals_1) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(digamma, tangents_1); digamma = tangents_1 = None | |
| polygamma = torch.ops.aten.polygamma.default(1, primals_1); primals_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_expand_as_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_expand_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_fft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_fft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_fftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_fftshift_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_hfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_hfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_hfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ifft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ifft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ifftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ifftshift_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ihfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ihfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_ihfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_irfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_irfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_irfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_rfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_rfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_fft_rfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_flatten_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_frexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.frexp.Tensor_out at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_gradient_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_hsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_i0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_inner_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_kron_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_kthvalue_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.kthvalue.values at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_cond_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_cross_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_det_singular_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_eigvals_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.linalg_eig.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_inv_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_matrix_power_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_multi_dot_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_norm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_pinv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_solve_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.linalg_solve_triangular.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_svd_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_svdvals_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_tensorinv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_linalg_vander_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_logaddexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten._logcumsumexp.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_logdet_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_logsumexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0], [s0, 1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| logsumexp: f32[s0], [1] = torch.ops.aten.logsumexp.default(primals_1, [1]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(logsumexp, tangents_1); logsumexp = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_lu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 483, in fn | |
| return if_true(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 1711, in _lu_with_infos | |
| result = _lu_impl(A, pivot, get_infos, out) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 1690, in _lu_impl | |
| return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos)) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/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 /data/users/ezyang/b/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.) | |
| return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos)) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566: 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 /data/users/ezyang/b/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.) | |
| return op.op(*c_args, **c_kwargs) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_mH_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_mT_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_amax_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1228, code: return torch.amax(mask_input, dim_, bool(keepdim)).to(dtype=dtype) | |
| amax: f32[s0], [1] = torch.ops.aten.amax.default(primals_1, [1]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(amax, tangents_1); amax = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_amin_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1278, code: return torch.amin(mask_input, dim_, bool(keepdim)).to(dtype=dtype) | |
| amin: f32[s0], [1] = torch.ops.aten.amin.default(primals_1, [1]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(amin, tangents_1); amin = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_cumprod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/masked/_ops.py", line 1196, in cumprod | |
| return torch.cumprod(mask_input, dim_, dtype=dtype).to(dtype=dtype) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_cumsum_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], primals_2: b8[s0], [1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # No stacktrace found for following nodes | |
| _tensor_constant0 = self._tensor_constant0 | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:417, code: return torch.tensor(0, dtype=dtype, device=device) | |
| lift_fresh_copy: f32[], [] = torch.ops.aten.lift_fresh_copy.default(_tensor_constant0); _tensor_constant0 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:849, code: return torch.where(mask, input, fill_value) | |
| where: f32[s0], [1] = torch.ops.aten.where.self(primals_2, primals_1, lift_fresh_copy); primals_2 = primals_1 = lift_fresh_copy = None | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1176, code: return torch.cumsum(mask_input, dim_, dtype=dtype).to(dtype=dtype) | |
| cumsum: f32[s0], [1] = torch.ops.aten.cumsum.default(where, 0, dtype = torch.float32); where = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(cumsum, tangents_1); cumsum = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_fill_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 845, in __torch_dispatch__ | |
| return decomposition_table[func](*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_refs/__init__.py", line 4710, in masked_fill | |
| value = value.item() | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_logaddexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/masked/_ops.py", line 1496, in logaddexp | |
| return torch.logaddexp(mask_input, mask_other).to(dtype=dtype) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_logsumexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1474, code: return torch.logsumexp(mask_input, dim_, keepdim=keepdim).to(dtype=dtype) | |
| logsumexp: f32[], [] = torch.ops.aten.logsumexp.default(primals_1, [0]); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(logsumexp, tangents_1); logsumexp = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_prod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1128, code: result = result.prod(dim=d, keepdim=bool(keepdim)) | |
| prod: f32[], [] = torch.ops.aten.prod.dim_int(primals_1, 0); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(prod, tangents_1); prod = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_masked_scatter_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_matmul_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], primals_2: f32[s1], [1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2276, code: return torch.mv(tensor1, tensor2) | |
| mv: f32[s0], [1] = torch.ops.aten.mv.default(primals_1, primals_2); primals_1 = primals_2 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(mv, tangents_1); mv = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_matrix_exp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.linalg_matrix_exp.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_median_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.median.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 489, in meshgrid | |
| return _meshgrid(*tensors, indexing=indexing) | |
| File "/data/users/ezyang/b/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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 489, in meshgrid | |
| return _meshgrid(*tensors, indexing=indexing) | |
| File "/data/users/ezyang/b/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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_mode_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.mode.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_movedim_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_mv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], primals_2: f32[s1], [1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| mv: f32[s0], [1] = torch.ops.aten.mv.default(primals_1, primals_2); primals_1 = primals_2 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(mv, tangents_1); mv = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 12000, in <lambda> | |
| wrapper_set_seed(torch.nn.functional._scaled_dot_product_attention, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten._adaptive_avg_pool3d_backward.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[0, s0, s0, s0, s0], [s0**4, s0**3, s0**2, s0, 1], tangents_1: f32[0, s0, 5, 7, 4], [140*s0, 140, 28, 4, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:1231, code: return torch._C._nn.adaptive_avg_pool3d(input, _output_size) | |
| _adaptive_avg_pool3d: f32[0, s0, 5, 7, 4], [140*s0, 140, 28, 4, 1] = torch.ops.aten._adaptive_avg_pool3d.default(primals_1, [5, 7, 4]) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(_adaptive_avg_pool3d, tangents_1); _adaptive_avg_pool3d = None | |
| _adaptive_avg_pool3d_backward = torch.ops.aten._adaptive_avg_pool3d_backward.default(tangents_1, primals_1); tangents_1 = primals_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 483, in fn | |
| return if_true(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1080, in adaptive_max_pool1d_with_indices | |
| return torch.adaptive_max_pool1d(input, output_size) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 483, in fn | |
| return if_true(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1121, in adaptive_max_pool2d_with_indices | |
| return torch._C._nn.adaptive_max_pool2d(input, output_size) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 483, in fn | |
| return if_true(*args, **kwargs) | |
| File "/data/users/ezyang/b/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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[], [], primals_2: f32[], [], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:3099, code: return torch._C._nn.binary_cross_entropy(input, target, weight, reduction_enum) | |
| binary_cross_entropy: f32[], [] = torch.ops.aten.binary_cross_entropy.default(primals_1, primals_2) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(binary_cross_entropy, tangents_1); binary_cross_entropy = None | |
| binary_cross_entropy_backward: f32[], [] = torch.ops.aten.binary_cross_entropy_backward.default(tangents_1, primals_1, primals_2, None); primals_2 = None | |
| empty_like: f32[], [] = torch.ops.aten.empty_like.default(primals_1, memory_format = torch.preserve_format) | |
| fill: f32[], [] = torch.ops.aten.fill.Scalar(empty_like, 1.0); empty_like = None | |
| sub: f32[], [] = torch.ops.aten.sub.Tensor(fill, primals_1); fill = None | |
| log: f32[], [] = torch.ops.aten.log.default(sub); sub = None | |
| log_1: f32[], [] = torch.ops.aten.log.default(primals_1); primals_1 = None | |
| sub_1: f32[], [] = torch.ops.aten.sub.Tensor(log, log_1); log = log_1 = None | |
| mul: f32[], [] = torch.ops.aten.mul.Tensor(sub_1, tangents_1); sub_1 = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3030, 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 stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten._embedding_bag_per_sample_weights_backward.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s1], [s1, 1], primals_2: i64[s1], [1], primals_3: i64[s2], [1], primals_4: f32[s1], [1], tangents_1: f32[s2, s1], [s1, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:2394, code: ret, _, _, _ = torch.embedding_bag( | |
| _embedding_bag = torch.ops.aten._embedding_bag.default(primals_1, primals_2, primals_3, False, 0, False, primals_4); primals_4 = None | |
| getitem: f32[s2, s1], [s1, 1] = _embedding_bag[0] | |
| getitem_1: i64[0], [1] = _embedding_bag[1] | |
| getitem_2: i64[s2], [1] = _embedding_bag[2] | |
| getitem_3: i64[s2], [1] = _embedding_bag[3]; _embedding_bag = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(getitem, tangents_1); getitem = None | |
| _embedding_bag_per_sample_weights_backward = torch.ops.aten._embedding_bag_per_sample_weights_backward.default(tangents_1, primals_1, primals_2, primals_3, getitem_1, 0); tangents_1 = primals_1 = primals_2 = primals_3 = getitem_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11577, in <lambda> | |
| wrapper_set_seed(torch.nn.functional.fractional_max_pool2d, input, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 485, in fn | |
| return if_false(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 503, in _fractional_max_pool2d | |
| return fractional_max_pool2d_with_indices( | |
| File "/data/users/ezyang/b/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 "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 867, in __torch_dispatch__ | |
| op_impl_out = op_impl(self, func, *args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 306, in constructors | |
| r = func(*args, **new_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: SymIntArrayRef expected to contain only concrete integers | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11598, in <lambda> | |
| wrapper_set_seed(torch.nn.functional.fractional_max_pool3d, input, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 485, in fn | |
| return if_false(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 608, in _fractional_max_pool3d | |
| return fractional_max_pool3d_with_indices( | |
| File "/data/users/ezyang/b/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 "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 867, in __torch_dispatch__ | |
| op_impl_out = op_impl(self, func, *args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 306, in constructors | |
| r = func(*args, **new_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: SymIntArrayRef expected to contain only concrete integers | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.grid_sampler_3d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 4243, in grid_sample | |
| return torch.grid_sampler(input, grid, mode_enum, padding_mode_enum, align_corners) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 845, in __torch_dispatch__ | |
| return decomposition_table[func](*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py", line 69, in inner | |
| r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) | |
| File "/data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py", line 1175, in native_group_norm_backward | |
| cpg, _rem = divmod(C, group) | |
| TypeError: unsupported operand type(s) for divmod(): 'SymInt' and 'int' | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[1, s0, s1], [s0*s1, s1, 1], primals_2: f32[s0], [1], primals_3: f32[s0], [1], tangents_1: f32[1, 2*s0//2, s1], [2*s1*s0//2, s1, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/utils/_pytree.py:244, code: return f(x) | |
| sym_size: Sym(1) = torch.ops.aten.sym_size(primals_1, 0) | |
| sym_size_1: Sym(s0) = torch.ops.aten.sym_size(primals_1, 1) | |
| sym_size_2: Sym(s1) = torch.ops.aten.sym_size(primals_1, 2) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:2532, code: return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled) | |
| native_group_norm = torch.ops.aten.native_group_norm.default(primals_1, primals_2, primals_3, sym_size, sym_size_1, sym_size_2, 2, 0.5); primals_3 = None | |
| getitem: f32[1, 2*s0//2, s1], [2*s1*s0//2, s1, 1] = native_group_norm[0] | |
| getitem_1: f32[1, 2], [2, 1] = native_group_norm[1] | |
| getitem_2: f32[1, 2], [2, 1] = native_group_norm[2]; native_group_norm = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(getitem, tangents_1); getitem = None | |
| native_group_norm_backward = torch.ops.aten.native_group_norm_backward.default(tangents_1, primals_1, getitem_1, getitem_2, primals_2, sym_size, sym_size_1, sym_size_2, 2, [True, True, True]); tangents_1 = primals_1 = getitem_1 = getitem_2 = primals_2 = sym_size = sym_size_1 = sym_size_2 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3943, 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 stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3966, 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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3953, 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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3928, in interpolate | |
| return torch._C._nn.upsample_nearest1d(input, output_size, scale_factors) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3961, 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 | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 485, in fn | |
| return if_false(*args, **kwargs) | |
| File "/data/users/ezyang/b/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 stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_pool3d_with_indices.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_jit_internal.py", line 483, in fn | |
| return if_true(*args, **kwargs) | |
| File "/data/users/ezyang/b/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 "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool2d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/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 "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool2d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/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 "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool2d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 980, in max_unpool2d | |
| return torch._C._nn.max_unpool2d(input, indices, output_size) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool2d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 980, in max_unpool2d | |
| return torch._C._nn.max_unpool2d(input, indices, output_size) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool3d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1012, in max_unpool3d | |
| return torch._C._nn.max_unpool3d(input, indices, output_size, _stride, padding) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.max_unpool3d.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1012, in max_unpool3d | |
| return torch._C._nn.max_unpool3d(input, indices, output_size, _stride, padding) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.multi_margin_loss.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3534, in multi_margin_loss | |
| return torch._C._nn.multi_margin_loss(input, target, p, margin, weight, reduction_enum) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.multilabel_margin_loss_forward.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3393, in multilabel_margin_loss | |
| return torch._C._nn.multilabel_margin_loss(input, target, reduction_enum) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.nll_loss2d_forward.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 2705, in nll_loss | |
| return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_pdist_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten._pdist_forward.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 845, in __torch_dispatch__ | |
| return decomposition_table[func](*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py", line 69, in inner | |
| r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) | |
| File "/data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py", line 279, in prelu_backward | |
| out = weight_grad_collector.sum_to_size(cur_weight.shape) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 849, in __torch_dispatch__ | |
| r = func.decompose(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 319, 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 functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], primals_2: f32[], [], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| prelu: f32[s0], [1] = torch.ops.aten.prelu.default(primals_1, primals_2) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(prelu, tangents_1); prelu = None | |
| prelu_backward = torch.ops.aten.prelu_backward.default(tangents_1, primals_1, primals_2); tangents_1 = primals_1 = primals_2 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.rrelu_with_noise.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 11937, in <lambda> | |
| wrapper_set_seed(torch.nn.functional.rrelu, input, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1682, in rrelu | |
| result = torch.rrelu(input, lower, upper, training) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3204, in smooth_l1_loss | |
| return torch._C._nn.smooth_l1_loss(expanded_input, expanded_target, _Reduction.get_enum(reduction), beta) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 4023, in upsample_nearest | |
| return interpolate(input, size, scale_factor, mode="nearest") | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3928, in interpolate | |
| return torch._C._nn.upsample_nearest1d(input, output_size, scale_factors) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/nn/functional.py:4022: 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.") | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_norm_nuc_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 1522, in norm | |
| return _VF.nuclear_norm(input, keepdim=keepdim) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_normal_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14831, in <lambda> | |
| wrapper_set_seed(torch.normal, inp, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14854, in <lambda> | |
| wrapper_set_seed(torch.normal, mean, std, *args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_ormqr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.ormqr.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_outer_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_pca_lowrank_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13751, in <lambda> | |
| op=lambda *args, **kwargs: wrapper_set_seed( | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13752, in <lambda> | |
| lambda a, b, **kwargs: torch.pca_lowrank(a @ b.mT, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 275, in pca_lowrank | |
| return _svd_lowrank(A, q, niter=niter, M=None) | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 161, in _svd_lowrank | |
| Q = get_approximate_basis(A_t, q, niter=niter, M=M_t) | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 70, in get_approximate_basis | |
| Q = torch.linalg.qr(matmul(A, R)).Q | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_permute_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polar_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.polar.out at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13798, in <lambda> | |
| op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13811, in <lambda> | |
| op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13834, in <lambda> | |
| op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13855, in <lambda> | |
| op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13876, in <lambda> | |
| op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_prod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| prod: f32[], [] = torch.ops.aten.prod.default(primals_1) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(prod, tangents_1); prod = tangents_1 = None | |
| view: f32[s0**3], [1] = torch.ops.aten.view.default(primals_1, [-1]); primals_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_put_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.take.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0], [s0, 1], primals_2: i64[s0], [1], primals_3: f32[s0], [1], tangents_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| put: f32[s0, s0], [s0, 1] = torch.ops.aten.put.default(primals_1, primals_2, primals_3, True); primals_1 = primals_3 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(put, tangents_1); put = None | |
| take = torch.ops.aten.take.default(tangents_1, primals_2); tangents_1 = primals_2 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_qr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566: 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 /data/users/ezyang/b/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.) | |
| return op.op(*c_args, **c_kwargs) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_ravel_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_reshape_as_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_roll_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 845, in __torch_dispatch__ | |
| return decomposition_table[func](*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_refs/__init__.py", line 3259, in roll | |
| t0 = torch.narrow(a, dim, start, size - start) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 849, in __torch_dispatch__ | |
| r = func.decompose(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 319, in decompose | |
| return self._op_dk(dk, *args, **kwargs) | |
| IndexError: Dimension out of range (expected to be in range of [-s0, s0 - 1], but got Mod(-2, s0)) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.segment_reduce.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.segment_reduce.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_select_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0], [s0, 1], tangents_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| sgn: f32[s0, s0], [s0, 1] = torch.ops.aten.sgn.default(primals_1); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(sgn, tangents_1); sgn = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_slice_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 485, in __torch_dispatch__ | |
| return self.inner_torch_dispatch(func, types, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 510, in inner_torch_dispatch | |
| out = proxy_call(self, func, args, kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 341, in proxy_call | |
| out = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0], [1], tangents_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| special_i1: f32[s0], [1] = torch.ops.aten.special_i1.default(primals_1) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(special_i1, tangents_1); tangents_1 = None | |
| abs_1: f32[s0], [1] = torch.ops.aten.abs.default(primals_1) | |
| gt: b8[s0], [1] = torch.ops.aten.gt.Scalar(abs_1, 1.1920928955078125e-07); abs_1 = None | |
| full: f32[], [] = torch.ops.aten.full.default([], 1.1920928955078125e-07, dtype = torch.float32, layout = torch.strided, device = device(type='cpu')) | |
| where: f32[s0], [1] = torch.ops.aten.where.self(gt, primals_1, full); gt = primals_1 = full = None | |
| reciprocal: f32[s0], [1] = torch.ops.aten.reciprocal.default(where) | |
| mul: f32[s0], [1] = torch.ops.aten.mul.Tensor(special_i1, reciprocal); special_i1 = reciprocal = None | |
| i0 = torch.ops.aten.i0.default(where); where = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/opinfo/definitions/special.py", line 177, in <lambda> | |
| op=lambda x, n, **kwargs: torch.special.polygamma(n, x, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_split_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_split_with_sizes_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_squeeze_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_std_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| std: f32[], [] = torch.ops.aten.std.correction(primals_1, None, correction = 1); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(std, tangents_1) | |
| mul: f32[], [] = torch.ops.aten.mul.Scalar(std, 2) | |
| div: f32[], [] = torch.ops.aten.div.Tensor(tangents_1, mul); tangents_1 = mul = None | |
| eq: b8[], [] = torch.ops.aten.eq.Scalar(std, 0); std = None | |
| masked_fill: f32[], [] = torch.ops.aten.masked_fill.Scalar(div, eq, 0); div = eq = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_std_mean_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[], [], tangents_2: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| std_mean = torch.ops.aten.std_mean.correction(primals_1, None, correction = 1); primals_1 = None | |
| getitem: f32[], [] = std_mean[0] | |
| getitem_1: f32[], [] = std_mean[1]; std_mean = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(getitem, tangents_1) | |
| is_same_size_1 = torch.ops.aten.is_same_size.default(getitem_1, tangents_2); getitem_1 = tangents_2 = None | |
| mul: f32[], [] = torch.ops.aten.mul.Scalar(getitem, 2) | |
| div: f32[], [] = torch.ops.aten.div.Tensor(tangents_1, mul); tangents_1 = mul = None | |
| eq: b8[], [] = torch.ops.aten.eq.Scalar(getitem, 0); getitem = None | |
| masked_fill: f32[], [] = torch.ops.aten.masked_fill.Scalar(div, eq, 0); div = eq = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_stft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 639, in stft | |
| input = F.pad(input.view(extended_shape), [pad, pad], pad_mode) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_sum_to_size_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 9041, in <lambda> | |
| op=lambda x, *args, **kwargs: x.sum_to_size(*args, **kwargs), | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_svd_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13724, in <lambda> | |
| op=lambda *args, **kwargs: wrapper_set_seed( | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13725, in <lambda> | |
| lambda a, b, **kwargs: torch.svd_lowrank(a @ b.mT, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 137, in svd_lowrank | |
| return _svd_lowrank(A, q=q, niter=niter, M=M) | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 161, in _svd_lowrank | |
| Q = get_approximate_basis(A_t, q, niter=niter, M=M_t) | |
| File "/data/users/ezyang/b/pytorch/torch/_lowrank.py", line 70, in get_approximate_basis | |
| Q = torch.linalg.qr(matmul(A, R)).Q | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_symeig_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. | |
| The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. | |
| L, _ = torch.symeig(A, upper=upper) | |
| should be replaced with | |
| L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') | |
| and | |
| L, V = torch.symeig(A, eigenvectors=True) | |
| should be replaced with | |
| L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /data/users/ezyang/b/pytorch/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.) | |
| return op.op(*c_args, **c_kwargs) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_t_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_take_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 379, in _get_dispatch | |
| final_key = resolve_key(self, key) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 107, in resolve_key | |
| raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") | |
| NotImplementedError: could not find kernel for aten.take.default at dispatch key DispatchKey.Meta | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 880, in __torch_dispatch__ | |
| return run_fallback_kernel(self, func, args, kwargs, not_implemented_error) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1027, in run_fallback_kernel | |
| args = tree_map(to_real_tensor, args) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in tree_map | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/utils/_pytree.py", line 195, in <listcomp> | |
| return tree_unflatten([fn(i) for i in flat_args], spec) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1020, in to_real_tensor | |
| out = torch.zeros_like(e, device=e.fake_device) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_tensordot_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/functional.py", line 1100, in tensordot | |
| return _VF.tensordot(a, b, dims_a, dims_b) # type: ignore[attr-defined] | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_to_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 12279, in <lambda> | |
| op=lambda x, *args, **kwargs: x.to(*args, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 867, in __torch_dispatch__ | |
| op_impl_out = op_impl(self, func, *args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 353, in to_copy | |
| return FakeTensor(fake_mode, aten._to_copy(input, **new_kwargs), out_device) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 484, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| File "/data/users/ezyang/b/pytorch/torch/_meta_registrations.py", line 1661, in _to_copy | |
| return torch.empty( | |
| File "/data/users/ezyang/b/pytorch/torch/_prims_common/wrappers.py", line 209, in _fn | |
| result = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_refs/__init__.py", line 3925, in empty | |
| check( | |
| File "/data/users/ezyang/b/pytorch/torch/_prims_common/__init__.py", line 1505, in check | |
| raise exc_type(s()) | |
| RuntimeError: torch.empty: the Preserve memory format is not supported | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_trace_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0], [s0, 1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| trace: f32[], [] = torch.ops.aten.trace.default(primals_1) | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(trace, tangents_1); trace = tangents_1 = None | |
| sym_size: Sym(s0) = torch.ops.aten.sym_size(primals_1, 0) | |
| sym_size_1: Sym(s0) = torch.ops.aten.sym_size(primals_1, 1); primals_1 = None | |
| # No stacktrace found for following nodes | |
| mul: Sym(s0**2) = sym_size * sym_size_1; sym_size = sym_size_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| zeros: f32[s0**2], [1] = torch.ops.aten.zeros.default([mul], dtype = torch.float32, layout = torch.strided, device = device(type='cpu')); mul = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_transpose_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_trapz_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 875, in __torch_dispatch__ | |
| r = func(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_ops.py", line 297, in __call__ | |
| return self._op(*args, **kwargs or {}) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_unbind_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_unfold_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_unsqueeze_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_var_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| var: f32[], [] = torch.ops.aten.var.correction(primals_1, None, correction = 1); primals_1 = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(var, tangents_1); var = tangents_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_var_mean_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 907, in aot_dispatch_autograd | |
| fx_g = make_fx( | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 685, in wrapped | |
| t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs)) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 440, in dispatch_trace | |
| graph = tracer.trace(root, concrete_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 739, in trace | |
| (self.create_arg(fn(*args)),), | |
| File "/data/users/ezyang/b/pytorch/torch/fx/_symbolic_trace.py", line 614, in flatten_fn | |
| tree_out = root_fn(*tree_args) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 459, in wrapped | |
| out = f(*tensors) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 510, in functionalized_joint | |
| outs = joint_forward_backward(f_primals, f_tangents) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 478, in joint_forward_backward | |
| backward_out = torch.autograd.grad( | |
| File "/data/users/ezyang/b/pytorch/torch/autograd/__init__.py", line 300, in grad | |
| return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class functionalized_joint(torch.nn.Module): | |
| def forward(self, primals, tangents): | |
| primals_1: f32[s0, s0, s0], [s0**2, s0, 1], tangents_1: f32[], [], tangents_2: f32[], [], = fx_pytree.tree_flatten_spec([primals, tangents], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py:1566, code: return op.op(*c_args, **c_kwargs) | |
| var_mean = torch.ops.aten.var_mean.correction(primals_1, None, correction = 1); primals_1 = None | |
| getitem: f32[], [] = var_mean[0] | |
| getitem_1: f32[], [] = var_mean[1]; var_mean = None | |
| # Gradient addition node due to multiple use of tensor around: | |
| is_same_size = torch.ops.aten.is_same_size.default(getitem, tangents_1); getitem = tangents_1 = None | |
| is_same_size_1 = torch.ops.aten.is_same_size.default(getitem_1, tangents_2); getitem_1 = tangents_2 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_view_as_complex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 13942, in <lambda> | |
| op=lambda x, other: x.view_as(other), | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_view_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1370, in returned_function | |
| out = cached_fn(flat_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 570, in g | |
| return f(*args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1125, in compiled_function | |
| fw_outs_including_aliases.append(input_alias.as_strided(out_tensor_meta.size(), out_tensor_meta.stride(), out_tensor_meta.storage_offset())) | |
| RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. | |
| warnings.warn(message, UserWarning) | |
| _ TestEagerFusionOpInfoCPU.test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1634, in test_aot_autograd_symbolic_exhaustive | |
| _test_aot_autograd_helper(self, device, dtype, op) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1590, in _test_aot_autograd_helper | |
| call_forwards_backwards(compiled_f) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1569, in call_forwards_backwards | |
| out = wrapper_set_seed(f, args) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 7976, in wrapper_set_seed | |
| return op(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1362, in returned_function | |
| compiled_fn = _create_aot_dispatcher_function( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1191, in _create_aot_dispatcher_function | |
| aot_dispatch_autograd(flat_fn, fake_flat_tensor_args, aot_config) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 851, in aot_dispatch_autograd | |
| _fw_metadata, out = run_functionalized_fw_and_collect_metadata( | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 225, in inner | |
| outs = f(*f_args) | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 852, in <lambda> | |
| lambda *args: flat_fn(*(add_dupe_args(args))), | |
| File "/data/users/ezyang/b/pytorch/functorch/_src/aot_autograd.py", line 1318, in flat_fn | |
| tree_out = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/functorch/test_aotdispatch.py", line 1566, in f | |
| return op.op(*c_args, **c_kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------- CSV report: test_aotdispatch.csv ----------------------- | |
| =========================== short test summary info ============================ | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_H_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_T_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___getitem___cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rmatmul___cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addmv_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_addr_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_amax_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_amin_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_1d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_2d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_baddbmm_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_block_diag_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_tensors_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_to_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cartesian_prod_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cdist_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cholesky_inverse_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cholesky_solve_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_chunk_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_column_stack_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_combinations_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cross_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cummin_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumprod_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumsum_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diagonal_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_diff_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_digamma_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expand_as_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_expand_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fftshift_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_hfftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ifftshift_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_ihfftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_irfftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfft2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfftn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_flatten_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_frexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_gradient_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_hsplit_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_i0_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_inner_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_kron_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_kthvalue_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cond_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cross_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_det_singular_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigvals_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_inv_ex_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_power_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_multi_dot_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_norm_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_ex_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_svd_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_svdvals_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_tensorinv_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_vander_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logaddexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logdet_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logsumexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mH_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mT_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_amax_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_amin_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumprod_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumsum_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_fill_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_logaddexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_logsumexp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_prod_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_scatter_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_matmul_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_matrix_exp_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_median_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mode_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_movedim_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mv_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pdist_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_nuc_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_normal_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ormqr_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_outer_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pca_lowrank_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_permute_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polar_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_prod_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_put_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_qr_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_ravel_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_as_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_roll_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_slice_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_with_sizes_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_squeeze_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_std_mean_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_stft_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sum_to_size_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_symeig_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_t_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tensordot_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_to_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trace_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_transpose_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapz_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unbind_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unfold_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unsqueeze_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_mean_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_complex_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_cpu_float32 | |
| FAILED test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32 | |
| = 221 failed, 249 passed, 133 skipped, 679 deselected, 15 xfailed in 1463.08s (0:24:23) = |
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