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| 9dbb7e488e0a8036e1b90f4711f6738d9593d94b | https://gist.github.com/7d77d21303d117f6ae8c51901a373017 | ||
|---|---|---|---|
| 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: aten.addmv.default - couldn't find symbolic meta function/decomposition | ||
| 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_baddbmm_cpu_float32 | RuntimeError: aten.baddbmm.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_block_diag_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| 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_cdouble_cpu_float32 | RuntimeError: aten.view_as_real.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cfloat_cpu_float32 | RuntimeError: aten.view_as_real.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cholesky_inverse_cpu_float32 | RuntimeError: aten.cholesky_inverse.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cholesky_solve_cpu_float32 | RuntimeError: aten.cholesky_solve.default - couldn't find symbolic meta function/decomposition | ||
| 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_complex_cpu_float32 | RuntimeError: aten.view_as_real.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cross_cpu_float32 | RuntimeError: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cummax_cpu_float32 | RuntimeError: aten.cummax.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cummin_cpu_float32 | RuntimeError: aten.cummin.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_cumprod_cpu_float32 | RuntimeError: aten.cumprod.default - couldn't find symbolic meta function/decomposition | ||
| 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_deg2rad_cpu_float32 | RuntimeError: aten.deg2rad.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_dist_cpu_float32 | RuntimeError: aten.dist.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_dsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| 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_frexp_cpu_float32 | RuntimeError: aten.frexp.Tensor - couldn't find symbolic meta function/decomposition | ||
| 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: aten.i0.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.kthvalue.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 | RuntimeError: aten.linalg_cholesky_ex.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_det_cpu_float32 | RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_det_singular_cpu_float32 | RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigh_cpu_float32 | RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigvals_cpu_float32 | RuntimeError: aten.linalg_eig.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 | RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32 | RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_inv_ex_cpu_float32 | RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lstsq_cpu_float32 | RuntimeError: aten.linalg_lstsq.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 | RuntimeError: aten.linalg_lstsq.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32 | RuntimeError: aten.linalg_lu.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32 | RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 | RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 | RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_qr_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32 | RuntimeError: aten._linalg_slogdet.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32 | RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_ex_cpu_float32 | RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 | RuntimeError: aten.linalg_solve_triangular.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_svd_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_linalg_svdvals_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
| 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_linalg_vector_norm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32 | RuntimeError: aten.logaddexp2.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_logaddexp_cpu_float32 | RuntimeError: aten.logaddexp.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32 | RuntimeError: aten.logcumsumexp.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32 | RuntimeError: aten.linalg_lu_solve.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_lu_unpack_cpu_float32 | RuntimeError: aten.lu_unpack.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.cumprod.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.logaddexp.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.masked_scatter.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_masked_select_cpu_float32 | RuntimeError: aten.masked_select.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.linalg_matrix_exp.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_median_cpu_float32 | RuntimeError: aten.median.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.min.dim - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_mode_cpu_float32 | RuntimeError: aten.mode.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_mv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nan_to_num_cpu_float32 | RuntimeError: Cannot cast FakeTensor(FakeTensor(..., device='meta', size=()), cpu) to number | ||
| 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: aten._adaptive_avg_pool3d_backward.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 | RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 | RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.avg_pool3d.default - couldn't find symbolic meta function/decomposition | ||
| 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_embedding_loss_cpu_float32 | RuntimeError: aten.sqrt_.default - couldn't find symbolic meta function/decomposition | ||
| 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_ctc_loss_cpu_float32 | RuntimeError: aten._ctc_loss.Tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 | RuntimeError: aten._embedding_bag_per_sample_weights_backward.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 | RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 | RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 | RuntimeError: aten.round.default - couldn't find symbolic meta function/decomposition | ||
| 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_hinge_embedding_loss_cpu_float32 | RuntimeError: aten.clamp_min_.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 | AttributeError: 'Graph' object has no attribute 'print_readable' | ||
| 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: aten.max_pool3d_with_indices.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 | RuntimeError: aten.max_unpool3d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 | RuntimeError: aten.max_unpool3d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 | RuntimeError: aten.multi_margin_loss.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 | RuntimeError: aten.multilabel_margin_loss_forward.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 | RuntimeError: aten.nll_loss2d_forward.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_normalize_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 | RuntimeError: aten.reflection_pad1d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 | RuntimeError: aten.replication_pad1d.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pdist_cpu_float32 | RuntimeError: aten._pdist_forward.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 | RuntimeError: aten.pixel_shuffle.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 | RuntimeError: aten.pixel_unshuffle.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.rrelu_with_noise.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 | RuntimeError: aten.smooth_l1_loss.default - couldn't find symbolic meta function/decomposition | ||
| 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_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_norm_nuc_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_normal_cpu_float32 | RuntimeError: aten.normal.Tensor_Tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_normal_number_mean_cpu_float32 | RuntimeError: aten.normal.float_Tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_ormqr_cpu_float32 | RuntimeError: aten.ormqr.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32 | RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polar_cpu_float32 | RuntimeError: aten.polar.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.put.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_qr_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_rad2deg_cpu_float32 | RuntimeError: aten.rad2deg.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_renorm_cpu_float32 | RuntimeError: aten.renorm.default - couldn't find symbolic meta function/decomposition | ||
| 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_round_cpu_float32 | RuntimeError: aten.round.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_round_decimals_0_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_round_decimals_3_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 | RuntimeError: aten.segment_reduce.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 | RuntimeError: aten.segment_reduce.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_special_i1_cpu_float32 | RuntimeError: aten.i0.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.reflection_pad1d.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_symeig_cpu_float32 | RuntimeError: aten.symeig.default - couldn't find symbolic meta function/decomposition | ||
| 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: aten.take.default - couldn't find symbolic meta function/decomposition | ||
| 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_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: aten.triangular_solve.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| 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: aten.view_as_complex.default - couldn't find symbolic meta function/decomposition | ||
| test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides |
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