/test_proxy_tensor.log Secret
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November 19, 2022 21:39
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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 2583 items / 1347 deselected / 1236 selected | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_H_cpu_float32 PASSED [ 0%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_T_cpu_float32 PASSED [ 0%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_abs_cpu_float32 PASSED [ 0%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acos_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acosh_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_add_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addbmm_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcmul_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmv_cpu_float32 FAILED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addr_cpu_float32 FAILED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_all_cpu_float32 PASSED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_allclose_cpu_float32 FAILED [ 1%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amax_cpu_float32 PASSED [ 2%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_angle_cpu_float32 PASSED [ 2%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_any_cpu_float32 PASSED [ 2%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_arange_cpu_float32 PASSED [ 2%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asin_cpu_float32 PASSED [ 2%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asinh_cpu_float32 PASSED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan2_cpu_float32 PASSED [ 3%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atanh_cpu_float32 PASSED [ 3%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32 PASSED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32 PASSED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 FAILED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32 PASSED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32 PASSED [ 3%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_block_diag_cpu_float32 SKIPPED [ 3%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bool_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 FAILED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_byte_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 FAILED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cat_cpu_float32 PASSED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdist_cpu_float32 FAILED [ 4%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdouble_cpu_float32 PASSED [ 4%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chalf_cpu_float32 PASSED [ 5%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clone_cpu_float32 PASSED [ 5%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 FAILED [ 5%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32 PASSED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32 PASSED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_contiguous_cpu_float32 PASSED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_copysign_cpu_float32 PASSED [ 6%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cos_cpu_float32 PASSED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cosh_cpu_float32 PASSED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 FAILED [ 6%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cov_cpu_float32 FAILED [ 6%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagflat_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32 PASSED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diff_cpu_float32 FAILED [ 7%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_digamma_cpu_float32 PASSED [ 8%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dot_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_double_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 FAILED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dstack_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_einsum_cpu_float32 PASSED [ 8%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_cpu_float32 SKIPPED [ 8%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erf_cpu_float32 PASSED [ 9%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfc_cpu_float32 PASSED [ 9%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfinv_cpu_float32 PASSED [ 9%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp2_cpu_float32 PASSED [ 9%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_as_cpu_float32 PASSED [ 9%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_cpu_float32 PASSED [ 9%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32 SKIPPED [ 24%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32 PASSED [ 28%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32 SKIPPED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32 SKIPPED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32 SKIPPED [ 30%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32 PASSED [ 30%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 PASSED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 PASSED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32 SKIPPED [ 30%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_det_singular_cpu_float32 SKIPPED [ 31%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32 SKIPPED [ 31%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32 SKIPPED [ 32%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32 SKIPPED [ 33%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32 SKIPPED [ 33%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 PASSED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 PASSED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 PASSED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 PASSED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32 SKIPPED [ 34%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32 SKIPPED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32 SKIPPED [ 35%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32 SKIPPED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32 SKIPPED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32 PASSED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32 PASSED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32 PASSED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32 PASSED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 PASSED [ 35%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32 SKIPPED [ 35%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32 SKIPPED [ 36%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 PASSED [ 36%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32 SKIPPED [ 36%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32 SKIPPED [ 36%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 PASSED [ 43%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32 PASSED [ 46%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 PASSED [ 47%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32 SKIPPED [ 47%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 SKIPPED [ 47%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32 SKIPPED [ 47%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32 SKIPPED [ 48%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 PASSED [ 49%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 FAILED [ 53%] | |
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| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32 SKIPPED [ 59%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 PASSED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 PASSED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 PASSED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32 PASSED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32 SKIPPED [ 60%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_symeig_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 FAILED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 PASSED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 PASSED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32 SKIPPED [ 61%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 FAILED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 PASSED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 PASSED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32 PASSED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 PASSED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32 SKIPPED [ 62%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 FAILED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32 PASSED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_copy_cpu_float32 SKIPPED [ 63%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 PASSED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32 PASSED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32 SKIPPED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_int_cpu_float32 PASSED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isclose_cpu_float32 FAILED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isfinite_cpu_float32 PASSED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isin_cpu_float32 FAILED [ 64%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isinf_cpu_float32 PASSED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isnan_cpu_float32 PASSED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isneginf_cpu_float32 PASSED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isposinf_cpu_float32 PASSED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isreal_cpu_float32 PASSED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32 SKIPPED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32 SKIPPED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kron_cpu_float32 FAILED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 FAILED [ 65%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ldexp_cpu_float32 PASSED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_le_cpu_float32 PASSED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lerp_cpu_float32 PASSED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lgamma_cpu_float32 PASSED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 FAILED [ 66%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32 SKIPPED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 SKIPPED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 FAILED [ 67%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 SKIPPED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 FAILED [ 68%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 FAILED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32 PASSED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32 PASSED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linspace_cpu_float32 PASSED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log10_cpu_float32 PASSED [ 69%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log1p_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log2_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 FAILED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 FAILED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 FAILED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logdet_cpu_float32 FAILED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_and_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_not_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_or_cpu_float32 PASSED [ 70%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logit_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logspace_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_long_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lt_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_cpu_float32 FAILED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 FAILED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 FAILED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mH_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mT_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32 PASSED [ 71%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 FAILED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 FAILED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 FAILED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32 SKIPPED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_median_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32 PASSED [ 72%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 FAILED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 SKIPPED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_std_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_var_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matmul_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 FAILED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_binary_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32 PASSED [ 73%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_maximum_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mean_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_median_cpu_float32 FAILED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 FAILED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 FAILED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_binary_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 FAILED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_minimum_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mm_cpu_float32 PASSED [ 74%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mode_cpu_float32 FAILED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_movedim_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_msort_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mul_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 FAILED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mv_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmean_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32 PASSED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 FAILED [ 75%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nansum_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_cpu_float32 FAILED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_dropout_backward_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ne_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_neg_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_cpu_float32 SKIPPED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32 SKIPPED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_full_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_ones_cpu_float32 PASSED [ 76%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nextafter_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 SKIPPED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 FAILED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 FAILED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 FAILED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 PASSED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 FAILED [ 77%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 SKIPPED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 FAILED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 FAILED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 FAILED [ 78%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 FAILED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 SKIPPED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 FAILED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 FAILED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 FAILED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 FAILED [ 79%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 FAILED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 FAILED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 PASSED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 FAILED [ 80%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 FAILED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 FAILED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 FAILED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 FAILED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 PASSED [ 81%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 PASSED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 FAILED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 SKIPPED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 FAILED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 SKIPPED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 FAILED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 SKIPPED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 FAILED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 SKIPPED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 FAILED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32 PASSED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 PASSED [ 82%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 SKIPPED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32 PASSED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 PASSED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 PASSED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 PASSED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 FAILED [ 83%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 FAILED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 FAILED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32 PASSED [ 84%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 FAILED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 SKIPPED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32 PASSED [ 85%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32 PASSED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_cpu_float32 PASSED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_like_cpu_float32 PASSED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_outer_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_permute_cpu_float32 PASSED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polar_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 FAILED [ 86%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_positive_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pow_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_prod_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_put_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_qr_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_quantile_cpu_float32 FAILED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rand_like_cpu_float32 PASSED [ 87%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_like_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_like_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ravel_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_real_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_remainder_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_renorm_cpu_float32 FAILED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32 SKIPPED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_cpu_float32 PASSED [ 88%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize__cpu_float32 FAILED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 FAILED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_roll_cpu_float32 FAILED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rot90_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsub_cpu_float32 PASSED [ 89%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 FAILED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 FAILED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 FAILED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_cpu_float32 PASSED [ 90%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sgn_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_short_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sign_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signbit_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sin_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinc_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinh_cpu_float32 PASSED [ 91%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sort_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 FAILED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 FAILED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32 PASSED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 FAILED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 FAILED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 FAILED [ 92%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 FAILED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_entr_cpu_float32 PASSED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32 PASSED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 FAILED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 FAILED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32 PASSED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1_cpu_float32 PASSED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32 PASSED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 FAILED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 SKIPPED [ 93%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32 PASSED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32 PASSED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32 PASSED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 FAILED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [ 94%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sqrt_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_square_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stack_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_cpu_float32 PASSED [ 95%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_mean_cpu_float32 PASSED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stft_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sub_cpu_float32 PASSED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_cpu_float32 PASSED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_symeig_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_cpu_float32 PASSED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_cpu_float32 FAILED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tan_cpu_float32 PASSED [ 96%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tanh_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 FAILED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 FAILED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tile_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_cpu_float32 SKIPPED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32 SKIPPED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_topk_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trace_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_transpose_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 FAILED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapz_cpu_float32 FAILED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 FAILED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tril_cpu_float32 PASSED [ 97%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triu_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_true_divide_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trunc_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unbind_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 FAILED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_uniform_cpu_float32 XFAIL [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32 SKIPPED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_cpu_float32 SKIPPED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_cpu_float32 PASSED [ 98%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_mean_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vdot_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_cpu_float32 FAILED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_copy_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 FAILED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vstack_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_where_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_xlogy_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zero__cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_cpu_float32 PASSED [ 99%] | |
| test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 PASSED [100%] | |
| =================================== FAILURES =================================== | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_addmv_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0, s1], [s1, 1], args_3: f32[s1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| addmv = torch.ops.aten.addmv.default(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_addr_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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/_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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0], [1], args_3: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| addr = torch.ops.aten.addr.default(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_allclose_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 280, in proxy_call | |
| raise RuntimeError( | |
| RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.allclose.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| aminmax = torch.ops.aten.aminmax.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3: f32[s0, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| baddbmm = torch.ops.aten.baddbmm.default(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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/_prims_common/wrappers.py", line 209, in _fn | |
| result = fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/_refs/__init__.py", line 5028, in bucketize | |
| mid_val = boundaries[mid] | |
| 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) | |
| 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 370, in data_dep | |
| raise DataDependentOutputException(func) | |
| torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| bucketize = torch.ops.aten.bucketize.Tensor(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cdist_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s2, s1], [s1*s2, s1, 1], args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cholesky = torch.ops.aten.cholesky.default(args_1, True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cholesky_inverse = torch.ops.aten.cholesky_inverse.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], args_2: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cholesky_solve = torch.ops.aten.cholesky_solve.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_combinations_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| view: f32[1, s0], [s0, 1] = torch.ops.aten.view.default(args_1, [1, -1]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.count_nonzero.dim_IntList at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| count_nonzero = torch.ops.aten.count_nonzero.default(args_1); args_1 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cov_cpu_float32 ___ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| view: f32[1, s0], [s0, 1] = torch.ops.aten.view.default(args_1, [1, -1]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cross_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, 3], [3, 1], args_2: f32[s0, 3], [3, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_cross = torch.ops.aten.linalg_cross.default(args_1, args_2, dim = 1); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cummax_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cummax = torch.ops.aten.cummax.default(args_1, 0); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cummin_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cummin = torch.ops.aten.cummin.default(args_1, 0); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| cumprod = torch.ops.aten.cumprod.default(args_1, 0); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_diff_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_equal_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 280, in proxy_call | |
| raise RuntimeError( | |
| RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.equal.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _to_copy: c64[s0, s1, s2], [s1*s2, s2, 1] = torch.ops.aten._to_copy.default(args_1, dtype = torch.complex64); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _to_copy: c64[s0, s1, s2], [s1*s2, s2, 1] = torch.ops.aten._to_copy.default(args_1, dtype = torch.complex64); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_frexp_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| frexp = torch.ops.aten.frexp.Tensor(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.geqrf.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| geqrf = torch.ops.aten.geqrf.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_gradient_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histc_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.histc.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| histc = torch.ops.aten.histc.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histogram_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.histogram.bin_ct at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| histogram = torch.ops.aten.histogram.bin_ct(args_1, 1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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._histogramdd_bin_edges.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, args_3, args_4, args_5, args_6, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _histogramdd_bin_edges = torch.ops.aten._histogramdd_bin_edges.default(args_1, [1, 1, 1, 1, 1]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| ___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_i0_cpu_float32 ___ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| i0 = torch.ops.aten.i0.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2, args_3: i64[1], [1], args_4: f32[], [], args_5, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| index_reduce = torch.ops.aten.index_reduce.default(args_1, 0, args_3, args_4, 'prod'); args_1 = args_3 = args_4 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inner_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| addmm_ = torch.ops.aten.addmm_.default(clone, args_2, args_3, beta = 0.2, alpha = 0.6); clone = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [s0, 1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| addmm_ = torch.ops.aten.addmm_.default(clone, args_2, args_3); clone = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0, s1], [s1, 1], args_3: f32[s1], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| addmv_ = torch.ops.aten.addmv_.default(clone, args_2, args_3); clone = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 {}) | |
| 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) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0], [1], args_3: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s1], [s1, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| addr_ = torch.ops.aten.addr_.default(clone, args_2, args_3); clone = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s1], [s0*s1, s1, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], args_3: f32[s0, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0, s1], [s0*s1, s1, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| baddbmm_ = torch.ops.aten.baddbmm_.default(clone, args_2, args_3); clone = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| cumprod_ = torch.ops.aten.cumprod_.default(clone, 0); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| RuntimeError: the base given to float_power_ has dtype Float but the operation's result requires dtype Double | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[], [] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| i0_ = torch.ops.aten.i0_.default(clone); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2, args_3: i64[1], [1], args_4: f32[], [], args_5, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[], [] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| index_reduce_ = torch.ops.aten.index_reduce_.default(clone, 0, args_3, args_4, 'prod'); clone = args_3 = args_4 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 1991, in hardsigmoid | |
| return torch._C._nn.hardsigmoid_(input) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:1991, code: return torch._C._nn.hardsigmoid_(input) | |
| hardsigmoid_ = torch.ops.aten.hardsigmoid_.default(clone); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| polygamma_ = torch.ops.aten.polygamma_.default(clone, 1); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| polygamma_ = torch.ops.aten.polygamma_.default(clone, 1); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| polygamma_ = torch.ops.aten.polygamma_.default(clone, 1); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| polygamma_ = torch.ops.aten.polygamma_.default(clone, 1); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| polygamma_ = torch.ops.aten.polygamma_.default(clone, 1); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| renorm_ = torch.ops.aten.renorm_.default(clone, 2, 1, 0.5); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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: Expected !size_bytes_is_symbolic_ to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| resize_ = torch.ops.aten.resize_.default(clone, [25, 5]); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 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 332, in resize_as_ | |
| return 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| resize_as_ = torch.ops.aten.resize_as_.default(clone, args_2); clone = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| round_ = torch.ops.aten.round_.default(clone); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| round_ = torch.ops.aten.round_.decimals(clone, decimals = 0); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| round_ = torch.ops.aten.round_.decimals(clone, decimals = 3); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| round_ = torch.ops.aten.round_.decimals(clone, decimals = -3); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[1, s0], [s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| t_ = torch.ops.aten.t_.default(clone); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s1], [s0*s1, s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[1, s0, s1], [s0*s1, s1, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| transpose_ = torch.ops.aten.transpose_.default(clone, -1, -2); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1545, in test_make_fx_symbolic_exhaustive_inplace | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic", inplace=True) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1466, in _fn | |
| return inplace_variant(t.clone(), *args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1466, code: return inplace_variant(t.clone(), *args, **kwargs) | |
| clone: f32[s0], [1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| uniform_ = torch.ops.aten.uniform_.default(clone, -100.0, 100.0); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_isclose_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| eq: b8[s0], [1] = torch.ops.aten.eq.Tensor(args_1, args_2) | |
| mul: f32[], [] = torch.ops.aten.mul.Scalar(args_2, 1e-05) | |
| abs_1: f32[], [] = torch.ops.aten.abs.default(mul); mul = None | |
| add: f32[], [] = torch.ops.aten.add.Scalar(abs_1, 1e-08); abs_1 = None | |
| sub: f32[s0], [1] = torch.ops.aten.sub.Tensor(args_1, args_2); args_1 = args_2 = None | |
| abs_2: f32[s0], [1] = torch.ops.aten.abs.default(sub); sub = None | |
| abs_3: f32[s0], [1] = torch.ops.aten.abs.default(abs_2) | |
| ne: b8[s0], [1] = torch.ops.aten.ne.Scalar(abs_3, inf); abs_3 = None | |
| eq_1: b8[s0], [1] = torch.ops.aten.eq.Tensor(abs_2, abs_2) | |
| mul_1: b8[s0], [1] = torch.ops.aten.mul.Tensor(eq_1, ne); eq_1 = ne = None | |
| le: b8[s0], [1] = torch.ops.aten.le.Tensor(abs_2, add); abs_2 = add = None | |
| bitwise_and_ = torch.ops.aten.bitwise_and_.Tensor(mul_1, le); mul_1 = le = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_isin_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| isin = torch.ops.aten.isin.Tensor_Tensor(args_1, args_2); args_1 = args_2 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_kron_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s1, s2], [s2, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| kthvalue = torch.ops.aten.kthvalue.default(args_1, 2); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_cholesky_ex = torch.ops.aten.linalg_cholesky_ex.default(args_1, upper = True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_cholesky_ex = torch.ops.aten.linalg_cholesky_ex.default(args_1, upper = True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_cross = torch.ops.aten.linalg_cross.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_det = torch.ops.aten._linalg_det.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_det = torch.ops.aten._linalg_det.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_eig = torch.ops.aten.linalg_eig.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_eigh = torch.ops.aten._linalg_eigh.default(args_1, 'U'); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_eig = torch.ops.aten.linalg_eig.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_eigh = torch.ops.aten._linalg_eigh.default(args_1, 'U'); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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_householder_product.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_householder_product = torch.ops.aten.linalg_householder_product.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_inv_ex = torch.ops.aten.linalg_inv_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_inv_ex = torch.ops.aten.linalg_inv_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_ldl_factor_ex = torch.ops.aten.linalg_ldl_factor_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_ldl_factor_ex = torch.ops.aten.linalg_ldl_factor_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [1, s0], args_2: i32[s0], [1], args_3: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_ldl_solve = torch.ops.aten.linalg_ldl_solve.default(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_lu = torch.ops.aten.linalg_lu.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [1, s0], args_2: i32[s0], [1], args_3: f32[s0, s1], [s1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_lu_solve = torch.ops.aten.linalg_lu_solve.default(args_1, args_2, args_3, adjoint = True); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]); args_1 = None | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(permute); permute = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, 1], [1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0], [s0, 1], args_2: f32[s0, 1], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]); args_1 = None | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(permute); permute = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]); args_1 = None | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(permute); permute = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1, hermitian = True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_qr = torch.ops.aten.linalg_qr.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_slogdet = torch.ops.aten._linalg_slogdet.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_solve_ex = torch.ops.aten._linalg_solve_ex.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_solve_ex = torch.ops.aten._linalg_solve_ex.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, 1], [1, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_solve_triangular = torch.ops.aten.linalg_solve_triangular.default(args_1, args_2, upper = True, unitriangular = True); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(args_1, True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s1, s2, 1], [s0*s1*s2, s1*s2, s2, 1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2: f32[s0, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| unsqueeze: f32[1], [0] = torch.ops.aten.unsqueeze.default(args_1, -1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| logaddexp2 = torch.ops.aten.logaddexp2.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| logaddexp = torch.ops.aten.logaddexp.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| logcumsumexp = torch.ops.aten.logcumsumexp.default(args_1, 0); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_logdet_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| ___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_cpu_float32 ___ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/functional.py:1690, code: return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos)) | |
| linalg_lu_factor_ex = torch.ops.aten.linalg_lu_factor_ex.default(args_1); args_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /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)) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s0], [1, s0], args_3: i32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_lu_solve = torch.ops.aten.linalg_lu_solve.default(args_2, args_3, args_1); args_2 = args_3 = args_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480: 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 fn(*args, **kwargs) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [1, s0], args_2: i32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| lu_unpack = torch.ops.aten.lu_unpack.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, kwargs_1: b8[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # No stacktrace found for following nodes | |
| _tensor_constant0 = self._tensor_constant0 | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:419, code: return torch.tensor(1, dtype=dtype, device=device) | |
| lift_fresh_copy: f32[], [] = torch.ops.aten.lift_fresh_copy.default(_tensor_constant0); _tensor_constant0 = None | |
| # File: /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(kwargs_1, args_1, lift_fresh_copy); kwargs_1 = args_1 = lift_fresh_copy = None | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1196, code: return torch.cumprod(mask_input, dim_, dtype=dtype).to(dtype=dtype) | |
| cumprod = torch.ops.aten.cumprod.default(where, 0, dtype = torch.float32); where = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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/_refs/__init__.py", line 4710, in masked_fill | |
| value = value.item() | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| masked_fill = torch.ops.aten.masked_fill.Tensor(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/masked/_ops.py:1496, code: return torch.logaddexp(mask_input, mask_other).to(dtype=dtype) | |
| logaddexp = torch.ops.aten.logaddexp.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: b8[s0, s0], [s0, 1], args_3: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| masked_scatter = torch.ops.aten.masked_scatter.default(args_1, args_2, args_3); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_matrix_exp = torch.ops.aten.linalg_matrix_exp.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_median_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| median = torch.ops.aten.median.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| min_1 = torch.ops.aten.min.dim(args_1, 1); args_1 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_mode_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| mode = torch.ops.aten.mode.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 14810, in <lambda> | |
| wrapper_set_seed(torch.multinomial, 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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.multinomial.default at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:7976, code: return op(*args, **kwargs) | |
| multinomial = torch.ops.aten.multinomial.default(args_1, 3); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| scalar_tensor: f32[], [] = torch.ops.aten.scalar_tensor.default(0.5, dtype = torch.float32, layout = torch.strided, device = device(type='cpu')) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_narrow_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3: i64[], [], args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s1], [s1**2, s1, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:1080, code: return torch.adaptive_max_pool1d(input, output_size) | |
| unsqueeze: f32[s0, s1, 1, s1], [s1**2, s1, 0, 1] = torch.ops.aten.unsqueeze.default(args_1, -2); args_1 = None | |
| adaptive_max_pool2d = torch.ops.aten.adaptive_max_pool2d.default(unsqueeze, [1, 3]); unsqueeze = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s0, s0], [s0**3, s0**2, s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:1121, code: return torch._C._nn.adaptive_max_pool2d(input, output_size) | |
| adaptive_max_pool2d = torch.ops.aten.adaptive_max_pool2d.default(args_1, [2, 3]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s0, s1, s2], [s0**2*s1*s2, s0*s1*s2, s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s1, s2, s2], [s1**2*s2**2, s1*s2**2, s2**2, s2, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| avg_pool3d = torch.ops.aten.avg_pool3d.default(args_1, [2, 2, 2]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s1], [1], args_3: f32[s2, s0, s1], [s0*s1, s1, 1], args_4: f32[s2], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 3096, in binary_cross_entropy | |
| new_size = _infer_size(target.size(), weight.size()) | |
| RuntimeError: expected int at position 0, but got: SymInt | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: f32[s0, s0], [s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 16149, in <lambda> | |
| op=lambda weight, idx, **kwargs: torch.nn.functional.embedding_bag(idx, weight, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 2394, in embedding_bag | |
| ret, _, _, _ = torch.embedding_bag( | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: i64[s1], [1], kwargs_1, kwargs_2: i64[s2], [1], kwargs_3, kwargs_4: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 16124, in <lambda> | |
| op=lambda weight, idx, **kwargs: torch.nn.functional.embedding(idx, weight, **kwargs), | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 2212, in embedding | |
| return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse) | |
| TypeError: embedding(): argument 'padding_idx' (position 3) must be int, not SymInt | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: i64[s1, s1], [s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s1, s1], [s0*s1**2, s1**2, s1, 1], args_2, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], 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(args_1, 0) | |
| sym_size_1: Sym(s0) = torch.ops.aten.sym_size(args_1, 1); args_1 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:481, code: _random_samples = torch.rand(n_batch, input.size(-3), 2, dtype=input.dtype, device=input.device) | |
| rand = torch.ops.aten.rand.default([sym_size, sym_size_1, 2], dtype = torch.float32, device = device(type='cpu'), pin_memory = False); sym_size = sym_size_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2, s2, s2], [s1*s2**3, s2**3, s2**2, s2, 1], args_2, args_3, args_4, kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/utils/_pytree.py:244, code: return f(x) | |
| sym_size: Sym(s0) = torch.ops.aten.sym_size(args_1, 0) | |
| sym_size_1: Sym(s1) = torch.ops.aten.sym_size(args_1, 1); args_1 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:586, code: _random_samples = torch.rand(n_batch, input.size(-4), 3, dtype=input.dtype, device=input.device) | |
| rand = torch.ops.aten.rand.default([sym_size, sym_size_1, 3], dtype = torch.float32, device = device(type='cpu'), pin_memory = False); sym_size = sym_size_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/nn/functional.py", line 2837, in gaussian_nll_loss | |
| if torch.any(var < 0): | |
| 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 280, in proxy_call | |
| raise RuntimeError( | |
| RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten._local_scalar_dense.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s0], [1], args_3: f32[s0], [1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:2837, code: if torch.any(var < 0): | |
| lt: b8[s0], [1] = torch.ops.aten.lt.Scalar(args_3, 0); args_3 = None | |
| any_1: b8[], [] = torch.ops.aten.any.default(lt); lt = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2, s2, s2], [s1*s2**3, s2**3, s2**2, s2, 1], args_2: f32[s0, s2, s2, s2, s1], [s1*s2**3, s1*s2**2, s1*s2, s1, 1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:4243, code: return torch.grid_sampler(input, grid, mode_enum, padding_mode_enum, align_corners) | |
| grid_sampler_3d = torch.ops.aten.grid_sampler_3d.default(args_1, args_2, 0, 0, False); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2, s2], [s1*s2**2, s2**2, s2, 1], args_2, args_3, args_4, args_5, args_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], args_2, args_3, args_4, args_5, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2, s2, s2], [s1*s2**3, s2**3, s2**2, s2, 1], args_2, args_3, args_4, args_5, args_6, args_7, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*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 696, in _max_pool1d | |
| return torch.max_pool1d(input, kernel_size, stride, padding, dilation, ceil_mode) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s1], [s0*s1, s1, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s1, s2, s3], [s0*s1*s2*s3, s1*s2*s3, s2*s3, s3, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:843, code: return torch._C._nn.max_pool3d_with_indices(input, kernel_size, stride, padding, dilation, ceil_mode) | |
| max_pool3d_with_indices = torch.ops.aten.max_pool3d_with_indices.default(args_1, [3, 3, 3], [2, 2, 2], [0, 0, 0], [1, 1, 1], True); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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) | |
| TypeError: max_unpool2d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 0 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, 1], [s0, 1, 1], args_2: i64[1, s0, 1], [s0, 1, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, extra_kwargs_1: f32[1, s0, s1], [s0*s1, s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:948, code: return torch._C._nn.max_unpool2d(input.unsqueeze(-1), indices.unsqueeze(-1), output_size).squeeze(-1) | |
| unsqueeze: f32[1, s0, 1, 1], [s0, 1, 1, 0] = torch.ops.aten.unsqueeze.default(args_1, -1); args_1 = None | |
| unsqueeze_1: i64[1, s0, 1, 1], [s0, 1, 1, 0] = torch.ops.aten.unsqueeze.default(args_2, -1); args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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) | |
| TypeError: max_unpool2d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 1 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, 1, s0], [s0**2, s0, s0, 1], args_2: i64[1, s0, 1, s0], [s0**2, s0, s0, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, kwargs_7, extra_kwargs_1: f32[1, s0, s1, s2], [s0*s1*s2, s1*s2, s2, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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) | |
| TypeError: max_unpool3d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 1 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, 1, s0, s0], [s0**3, s0**2, s0**2, s0, 1], args_2: i64[1, s0, 1, s0, s0], [s0**3, s0**2, s0**2, s0, 1], kwargs_1, kwargs_2, kwargs_3, kwargs_4, kwargs_5, kwargs_6, kwargs_7, kwargs_8, extra_kwargs_1: f32[1, s0, s1, s2, s3], [s0*s1*s2*s3, s1*s2*s3, s2*s3, s3, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: i64[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:3534, code: return torch._C._nn.multi_margin_loss(input, target, p, margin, weight, reduction_enum) | |
| multi_margin_loss = torch.ops.aten.multi_margin_loss.default(args_1, args_2, 1, 1.0); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: i64[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:3393, code: return torch._C._nn.multilabel_margin_loss(input, target, reduction_enum) | |
| multilabel_margin_loss_forward = torch.ops.aten.multilabel_margin_loss_forward.default(args_1, args_2, 1); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0], [s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| reflection_pad1d = torch.ops.aten.reflection_pad1d.default(args_1, [1, 2]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0], [s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| replication_pad1d = torch.ops.aten.replication_pad1d.default(args_1, [1, 2]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, 1], [1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _pdist_forward = torch.ops.aten._pdist_forward.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, s0, s1, s1], [s0*s1**2, s1**2, s1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| pixel_shuffle = torch.ops.aten.pixel_shuffle.default(args_1, 1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, 1, s0, s0], [s0**2, s0**2, s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| pixel_unshuffle = torch.ops.aten.pixel_unshuffle.default(args_1, 1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, kwargs_2, kwargs_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:1682, code: result = torch.rrelu(input, lower, upper, training) | |
| empty_like: f32[s0], [1] = torch.ops.aten.empty_like.default(args_1, memory_format = torch.contiguous_format) | |
| rrelu_with_noise = torch.ops.aten.rrelu_with_noise.default(args_1, empty_like, 0.0, 1.0, True); args_1 = empty_like = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/nn/functional.py:3204, code: return torch._C._nn.smooth_l1_loss(expanded_input, expanded_target, _Reduction.get_enum(reduction), beta) | |
| smooth_l1_loss = torch.ops.aten.smooth_l1_loss.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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: SymIntArrayRef expected to contain only concrete integers | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1, s2], [s1*s2, s2, 1], kwargs_1, extra_kwargs_1: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| ----------------------------- 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.") | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/functional.py:1522, code: return _VF.nuclear_norm(input, keepdim=keepdim) | |
| permute: f32[s0, s0], [s0, 1] = torch.ops.aten.permute.default(args_1, [0, 1]); args_1 = None | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(permute); permute = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_normal_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:7976, code: return op(*args, **kwargs) | |
| normal = torch.ops.aten.normal.Tensor_Tensor(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:7976, code: return op(*args, **kwargs) | |
| normal = torch.ops.aten.normal.float_Tensor(0.3, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [1, s0], args_2: f32[s0], [1], args_3: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| ormqr = torch.ops.aten.ormqr.default(args_1, args_2, args_3, True, True); args_1 = args_2 = args_3 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_outer_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2: f32[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, 0], [1, 1], args_2: f32[1, 0], [1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13752, code: lambda a, b, **kwargs: torch.pca_lowrank(a @ b.mT, **kwargs), | |
| transpose: f32[0, 1], [1, 1] = torch.ops.aten.transpose.int(args_2, -2, -1); args_2 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2282, code: return torch.mm(tensor1, tensor2) | |
| mm: f32[1, 1], [1, 1] = torch.ops.aten.mm.default(args_1, transpose); transpose = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2) | |
| transpose_1: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(mm, 1, 0); mm = None | |
| # File: /data/users/ezyang/b/pytorch/torch/utils/_pytree.py:244, code: return f(x) | |
| sym_size: Sym(1) = torch.ops.aten.sym_size(args_1, 0); args_1 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_lowrank.py:64, code: R = torch.randn(n, q, dtype=dtype, device=A.device) | |
| randn: f32[1, 0], [1, 1] = torch.ops.aten.randn.default([sym_size, 0], dtype = torch.float32, device = device(type='cpu'), pin_memory = False); sym_size = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2) | |
| transpose_2: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(transpose_1, 1, 0) | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2282, code: return torch.mm(tensor1, tensor2) | |
| mm_1: f32[1, 0], [1, 1] = torch.ops.aten.mm.default(transpose_1, randn); transpose_1 = randn = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_lowrank.py:70, code: Q = torch.linalg.qr(matmul(A, R)).Q | |
| linalg_qr = torch.ops.aten.linalg_qr.default(mm_1); mm_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| full: f64[], [] = torch.ops.aten.full.default([], 0.0, dtype = torch.float64, layout = torch.strided, device = device(type='cpu')) | |
| full_1: f64[], [] = torch.ops.aten.full.default([], 1e-15, dtype = torch.float64, layout = torch.strided, device = device(type='cpu')) | |
| linalg_pinv = torch.ops.aten.linalg_pinv.atol_rtol_tensor(args_1, atol = full, rtol = full_1); args_1 = full = full_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polar_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| polar = torch.ops.aten.polar.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13798, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13811, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13834, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13855, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13876, code: op=lambda x, n, **kwargs: torch.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| ___ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_qr_cpu_float32 ___ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| linalg_qr = torch.ops.aten.linalg_qr.default(args_1); args_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480: 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 fn(*args, **kwargs) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_quantile_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| scalar_tensor: f32[], [] = torch.ops.aten.scalar_tensor.default(0.5, dtype = torch.float32, layout = torch.strided, device = device(type='cpu')) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_renorm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, args_4, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| renorm = torch.ops.aten.renorm.default(args_1, 2, 1, 0.5); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_resize__cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 15169, in <lambda> | |
| op=lambda x, shape: x.clone().resize_(shape), | |
| 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: Expected !size_bytes_is_symbolic_ to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:15169, code: op=lambda x, shape: x.clone().resize_(shape), | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| resize_ = torch.ops.aten.resize_.default(clone, [25, 5]); clone = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py", line 15186, in <lambda> | |
| op=lambda x, other: torch.resize_as_(x.clone(), other), | |
| 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 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 332, in resize_as_ | |
| return 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:15186, code: op=lambda x, other: torch.resize_as_(x.clone(), other), | |
| clone: f32[s0, s0, s0], [s0**2, s0, 1] = torch.ops.aten.clone.default(args_1); args_1 = None | |
| resize_as_ = torch.ops.aten.resize_as_.default(clone, args_2); clone = args_2 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_roll_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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/_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 stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| roll = torch.ops.aten.roll.default(args_1, [2], [0]); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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.searchsorted.Tensor at dispatch key DispatchKey.Meta | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0], [1], args_2: f32[0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| searchsorted = torch.ops.aten.searchsorted.Tensor(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, kwargs_1, kwargs_2, kwargs_3, kwargs_4: i64[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| segment_reduce = torch.ops.aten.segment_reduce.default(args_1, 'max', lengths = kwargs_4, initial = 1); args_1 = kwargs_4 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, kwargs_1, kwargs_2, kwargs_3, kwargs_4: i64[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| segment_reduce = torch.ops.aten.segment_reduce.default(args_1, 'max', offsets = kwargs_4, initial = 1); args_1 = kwargs_4 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| File "/data/users/ezyang/b/pytorch/torch/fx/experimental/proxy_tensor.py", line 672, in wrapped | |
| args = pytree.tree_map(wrap_fn_map[tracing_mode], 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/fx/experimental/proxy_tensor.py", line 661, in wrap_fake | |
| return fake_tensor_mode.from_tensor(x) # type: ignore[attr-defined] | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 1001, in from_tensor | |
| return self.fake_tensor_converter(self, tensor, shape_env=self.shape_env) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 265, in __call__ | |
| return self.from_real_tensor(fake_mode, t, make_constant, shape_env=shape_env) | |
| File "/data/users/ezyang/b/pytorch/torch/_subclasses/fake_tensor.py", line 239, in from_real_tensor | |
| raise UnsupportedFakeTensorException("meta converter nyi") | |
| torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:950: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /data/users/ezyang/b/pytorch/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) | |
| torch.eye(m, n, device=device, dtype=dtype) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_airy_ai = torch.ops.aten.special_airy_ai.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_bessel_y0 = torch.ops.aten.special_bessel_y0.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_bessel_y1 = torch.ops.aten.special_bessel_y1.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_chebyshev_polynomial_t = torch.ops.aten.special_chebyshev_polynomial_t.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_chebyshev_polynomial_u = torch.ops.aten.special_chebyshev_polynomial_u.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_hermite_polynomial_h = torch.ops.aten.special_hermite_polynomial_h.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_hermite_polynomial_he = torch.ops.aten.special_hermite_polynomial_he.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], args_2: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_laguerre_polynomial_l = torch.ops.aten.special_laguerre_polynomial_l.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_modified_bessel_i0 = torch.ops.aten.special_modified_bessel_i0.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_modified_bessel_i1 = torch.ops.aten.special_modified_bessel_i1.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_modified_bessel_k0 = torch.ops.aten.special_modified_bessel_k0.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_modified_bessel_k1 = torch.ops.aten.special_modified_bessel_k1.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/opinfo/definitions/special.py:177, code: op=lambda x, n, **kwargs: torch.special.polygamma(n, x, **kwargs), | |
| polygamma = torch.ops.aten.polygamma.default(1, args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_scaled_modified_bessel_k0 = torch.ops.aten.special_scaled_modified_bessel_k0.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| special_scaled_modified_bessel_k1 = torch.ops.aten.special_scaled_modified_bessel_k1.default(args_1); args_1 = None | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_stft_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/utils/_pytree.py:244, code: return f(x) | |
| sym_size: Sym(s0) = torch.ops.aten.sym_size(args_1, 0) | |
| # File: /data/users/ezyang/b/pytorch/torch/functional.py:639, code: input = F.pad(input.view(extended_shape), [pad, pad], pad_mode) | |
| view: f32[1, 1, s0], [s0, s0, 1] = torch.ops.aten.view.default(args_1, [1, 1, sym_size]); args_1 = sym_size = None | |
| reflection_pad1d = torch.ops.aten.reflection_pad1d.default(view, [5, 5]); view = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[], [], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_svd_cpu_float32 ___ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[0, 0], [1, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| _linalg_svd = torch.ops.aten._linalg_svd.default(args_1); args_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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/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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[1, 0], [1, 1], args_2: f32[1, 0], [1, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/torch/testing/_internal/common_methods_invocations.py:13725, code: lambda a, b, **kwargs: torch.svd_lowrank(a @ b.mT, **kwargs), | |
| transpose: f32[0, 1], [1, 1] = torch.ops.aten.transpose.int(args_2, -2, -1); args_2 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2282, code: return torch.mm(tensor1, tensor2) | |
| mm: f32[1, 1], [1, 1] = torch.ops.aten.mm.default(args_1, transpose); transpose = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2) | |
| transpose_1: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(mm, 1, 0); mm = None | |
| # File: /data/users/ezyang/b/pytorch/torch/utils/_pytree.py:244, code: return f(x) | |
| sym_size: Sym(1) = torch.ops.aten.sym_size(args_1, 0); args_1 = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_lowrank.py:64, code: R = torch.randn(n, q, dtype=dtype, device=A.device) | |
| randn: f32[1, 0], [1, 1] = torch.ops.aten.randn.default([sym_size, 0], dtype = torch.float32, device = device(type='cpu'), pin_memory = False); sym_size = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_linalg_utils.py:59, code: return A.transpose(ndim - 1, ndim - 2) | |
| transpose_2: f32[1, 1], [1, 1] = torch.ops.aten.transpose.int(transpose_1, 1, 0) | |
| # File: /data/users/ezyang/b/pytorch/torch/_decomp/decompositions.py:2282, code: return torch.mm(tensor1, tensor2) | |
| mm_1: f32[1, 0], [1, 1] = torch.ops.aten.mm.default(transpose_1, randn); transpose_1 = randn = None | |
| # File: /data/users/ezyang/b/pytorch/torch/_lowrank.py:70, code: Q = torch.linalg.qr(matmul(A, R)).Q | |
| linalg_qr = torch.ops.aten.linalg_qr.default(mm_1); mm_1 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_symeig_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], kwargs_1, kwargs_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| symeig = torch.ops.aten.symeig.default(args_1, True, False); args_1 = None | |
| ----------------------------- Captured stderr call ----------------------------- | |
| /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480: 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 fn(*args, **kwargs) | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: i64[s0, s0], [s0, 1], args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| __ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_take_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 879, in __torch_dispatch__ | |
| raise not_implemented_error | |
| 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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0], [s0, 1], args_2: i64[s0], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| take = torch.ops.aten.take.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: i64[s1], [1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s0, s0, s0], [s0**2, s0, 1], kwargs_1, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_trapz_cpu_float32 __ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2: f32[s0, s1], [s1, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| 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 f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, 1], [1, 1], args_2: f32[s0, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| # File: /data/users/ezyang/b/pytorch/test/test_proxy_tensor.py:1480, code: return fn(*args, **kwargs) | |
| triangular_solve = torch.ops.aten.triangular_solve.default(args_1, args_2); args_1 = args_2 = None | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0], [1], args_2, args_3, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_view_as_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **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 | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s0, s0], [s0**2, s0, 1], args_2: f32[s1, s0], [s0, 1], = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| _ TestProxyTensorOpInfoCPU.test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 _ | |
| Traceback (most recent call last): | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1536, in test_make_fx_symbolic_exhaustive | |
| _test_make_fx_helper(self, device, dtype, op, "symbolic") | |
| File "/data/users/ezyang/b/pytorch/test/test_proxy_tensor.py", line 1507, in _test_make_fx_helper | |
| new_f = make_fx(f, tracing_mode=tracing_mode)(args, kwargs, extra_args, extra_kwargs) | |
| 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/test/test_proxy_tensor.py", line 1480, in f | |
| return fn(*args, **kwargs) | |
| RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | |
| ----------------------------- Captured stdout call ----------------------------- | |
| incomplete graph: | |
| class f(torch.nn.Module): | |
| def forward(self, args, kwargs, extra_args, extra_kwargs): | |
| args_1: f32[s0, s1], [s1, 1], args_2, = fx_pytree.tree_flatten_spec([args, kwargs, extra_args, extra_kwargs], self._in_spec) | |
| pass | |
| ---------------------- CSV report: test_proxy_tensor.csv ----------------------- | |
| =========================== short test summary info ============================ | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmv_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addr_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_allclose_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdist_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_combinations_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cov_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cross_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummax_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummin_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diff_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_equal_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_frexp_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gradient_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histc_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogram_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_i0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inner_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isclose_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isin_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kron_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logdet_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_median_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mode_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_outer_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polar_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_qr_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_quantile_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_renorm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize__cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_roll_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stft_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_symeig_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapz_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_cpu_float32 | |
| FAILED test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 | |
| = 229 failed, 494 passed, 512 skipped, 1347 deselected, 1 xfailed in 998.03s (0:16:38) = |
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