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| 6ab5c92aded89f7fbe97f7a5aa6ffb596ae18e40 | https://gist.github.com/3988ade331bdd95627cde2027c5f8eef | ||
|---|---|---|---|
| test_aot_autograd_symbolic_exhaustive_H_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_T_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive___getitem___cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive___rmatmul___cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_addmv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_addr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_amax_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_amin_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_atleast_1d_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_atleast_2d_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_atleast_3d_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_baddbmm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_block_diag_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_broadcast_tensors_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_broadcast_to_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_cartesian_prod_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cdist_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cholesky_inverse_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cholesky_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_chunk_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_column_stack_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_combinations_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cross_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cummin_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cumprod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cumsum_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_diagonal_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_diff_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_digamma_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_expand_as_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_expand_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_fft_fft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_fft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_fftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_fftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_hfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_hfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_hfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ifft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ifft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ifftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ifftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ihfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ihfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_ihfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_irfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_irfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_irfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_rfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_rfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_fft_rfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_flatten_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_frexp_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_gradient_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_hsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_i0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_inner_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_kron_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_kthvalue_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_cond_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_cross_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_det_singular_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigvals_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_inv_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_matrix_power_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_multi_dot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_norm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_pinv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_svd_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_svdvals_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_tensorinv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_linalg_vander_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logaddexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logdet_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logsumexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_lu_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_mH_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_mT_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_masked_amax_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_amin_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_cumprod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_cumsum_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_fill_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_logaddexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_logsumexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_prod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_masked_scatter_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_matmul_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_matrix_exp_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_median_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_mode_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_movedim_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_mv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 | TypeError: adaptive_max_pool3d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 1 | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 | RuntimeError: SymIntArrayRef expected to contain only concrete integers | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 | RuntimeError: SymIntArrayRef expected to contain only concrete integers | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 | TypeError: unsupported operand type(s) for divmod(): 'SymInt' and 'int' | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 | TypeError: adaptive_avg_pool1d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 0 | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pdist_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_norm_nuc_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_normal_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_ormqr_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_outer_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_pca_lowrank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_permute_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polar_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_prod_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_put_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_qr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_ravel_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_reshape_as_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_roll_cpu_float32 | IndexError: Dimension out of range (expected to be in range of [-s0, s0 - 1], but got Mod(-2, s0)) | ||
| test_aot_autograd_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_select_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_slice_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_split_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_split_with_sizes_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_squeeze_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_std_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_std_mean_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_stft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_sum_to_size_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_svd_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_symeig_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_t_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_take_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_tensordot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_to_cpu_float32 | RuntimeError: torch.empty: the Preserve memory format is not supported | ||
| test_aot_autograd_symbolic_exhaustive_trace_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_transpose_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_trapz_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_unbind_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_unfold_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_unsqueeze_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_var_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_var_mean_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_view_as_complex_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_view_cpu_float32 | RuntimeError: Expected !is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
| test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides |
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