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| 6ab5c92aded89f7fbe97f7a5aa6ffb596ae18e40 | https://gist.github.com/b5d1868e5e583ee9ddb86252498b9523 | ||
|---|---|---|---|
| addmv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| addr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| allclose_cpu_float32 | 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. | ||
| aminmax_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| baddbmm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| bucketize_cpu_float32 | torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default | ||
| cartesian_prod_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| cdist_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cholesky_cpu_float32 | NotImplementedError: could not find kernel for aten.cholesky.default at dispatch key DispatchKey.Meta | ||
| cholesky_inverse_cpu_float32 | NotImplementedError: could not find kernel for aten.cholesky_inverse.default at dispatch key DispatchKey.Meta | ||
| cholesky_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| column_stack_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| combinations_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| corrcoef_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| count_nonzero_cpu_float32 | NotImplementedError: could not find kernel for aten.count_nonzero.dim_IntList at dispatch key DispatchKey.Meta | ||
| cov_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cross_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cummax_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cummin_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cumprod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| cumulative_trapezoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| diff_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| dsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| equal_cpu_float32 | 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. | ||
| fft_fft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_fft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_fftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_fftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_hfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_hfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_hfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ifft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ifft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ifftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ifftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ihfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ihfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_ihfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_irfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_irfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_irfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_rfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_rfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| fft_rfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| frexp_cpu_float32 | NotImplementedError: could not find kernel for aten.frexp.Tensor_out at dispatch key DispatchKey.Meta | ||
| geqrf_cpu_float32 | NotImplementedError: could not find kernel for aten.geqrf.default at dispatch key DispatchKey.Meta | ||
| gradient_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| histc_cpu_float32 | NotImplementedError: could not find kernel for aten.histc.default at dispatch key DispatchKey.Meta | ||
| histogram_cpu_float32 | NotImplementedError: could not find kernel for aten.histogram.bin_ct at dispatch key DispatchKey.Meta | ||
| histogramdd_cpu_float32 | NotImplementedError: could not find kernel for aten._histogramdd_bin_edges.default at dispatch key DispatchKey.Meta | ||
| hsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| i0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| index_reduce_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| inner_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_addmm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_addmm_decomposed_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_addmv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_addr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_baddbmm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_cumprod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_float_power_cpu_float32 | RuntimeError: the base given to float_power_ has dtype Float but the operation's result requires dtype Double | ||
| inplace_i0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_index_reduce_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| inplace_nn_functional_hardsigmoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_polygamma_polygamma_n_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_polygamma_polygamma_n_1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_polygamma_polygamma_n_2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_polygamma_polygamma_n_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_polygamma_polygamma_n_4_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_renorm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_resize__cpu_float32 | 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.) | ||
| inplace_resize_as__cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_round_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_round_decimals_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_round_decimals_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_round_decimals_neg_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_t_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_transpose_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| inplace_uniform_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| isclose_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| isin_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| kron_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| kthvalue_cpu_float32 | NotImplementedError: could not find kernel for aten.kthvalue.values at dispatch key DispatchKey.Meta | ||
| linalg_cholesky_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_cholesky_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_cond_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| linalg_cross_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_det_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_det_singular_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_eig_cpu_float32 | NotImplementedError: could not find kernel for aten.linalg_eig.default at dispatch key DispatchKey.Meta | ||
| linalg_eigh_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_eigvals_cpu_float32 | NotImplementedError: could not find kernel for aten.linalg_eig.default at dispatch key DispatchKey.Meta | ||
| linalg_eigvalsh_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_householder_product_cpu_float32 | NotImplementedError: could not find kernel for aten.linalg_householder_product.default at dispatch key DispatchKey.Meta | ||
| linalg_inv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_inv_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_ldl_factor_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_ldl_factor_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_ldl_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_lu_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_lu_factor_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_lu_factor_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_lu_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_matrix_norm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_matrix_power_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_matrix_rank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_matrix_rank_hermitian_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_multi_dot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_norm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_norm_subgradients_at_zero_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_pinv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_pinv_hermitian_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_qr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_slogdet_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_solve_ex_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_solve_triangular_cpu_float32 | NotImplementedError: could not find kernel for aten.linalg_solve_triangular.default at dispatch key DispatchKey.Meta | ||
| linalg_svd_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_svdvals_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_tensorinv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_tensorsolve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| linalg_vander_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| logaddexp2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| logaddexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| logcumsumexp_cpu_float32 | NotImplementedError: could not find kernel for aten._logcumsumexp.default at dispatch key DispatchKey.Meta | ||
| logdet_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| lu_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| lu_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| lu_unpack_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| masked_cumprod_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| masked_fill_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| masked_logaddexp_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| masked_scatter_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| matrix_exp_cpu_float32 | NotImplementedError: could not find kernel for aten.linalg_matrix_exp.default at dispatch key DispatchKey.Meta | ||
| median_cpu_float32 | NotImplementedError: could not find kernel for aten.median.default at dispatch key DispatchKey.Meta | ||
| meshgrid_list_of_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| meshgrid_variadic_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| min_reduction_with_dim_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| mode_cpu_float32 | NotImplementedError: could not find kernel for aten.mode.default at dispatch key DispatchKey.Meta | ||
| multinomial_cpu_float32 | NotImplementedError: could not find kernel for aten.multinomial.default at dispatch key DispatchKey.Meta | ||
| nanquantile_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| narrow_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| nn_functional_adaptive_max_pool1d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_adaptive_max_pool2d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| 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 | ||
| nn_functional_avg_pool3d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_bilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_binary_cross_entropy_cpu_float32 | RuntimeError: expected int at position 0, but got: SymInt | ||
| nn_functional_cosine_similarity_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_cross_entropy_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_embedding_bag_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_embedding_cpu_float32 | TypeError: embedding(): argument 'padding_idx' (position 3) must be int, not SymInt | ||
| nn_functional_fractional_max_pool2d_cpu_float32 | RuntimeError: SymIntArrayRef expected to contain only concrete integers | ||
| nn_functional_fractional_max_pool3d_cpu_float32 | RuntimeError: SymIntArrayRef expected to contain only concrete integers | ||
| nn_functional_gaussian_nll_loss_cpu_float32 | 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. | ||
| nn_functional_grid_sample_cpu_float32 | NotImplementedError: could not find kernel for aten.grid_sampler_3d.default at dispatch key DispatchKey.Meta | ||
| 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 | ||
| nn_functional_interpolate_bicubic_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_interpolate_linear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_interpolate_nearest_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_interpolate_trilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_max_pool1d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_max_pool3d_cpu_float32 | NotImplementedError: could not find kernel for aten.max_pool3d_with_indices.default at dispatch key DispatchKey.Meta | ||
| nn_functional_max_unpool1d_grad_cpu_float32 | TypeError: max_unpool2d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 0 | ||
| nn_functional_max_unpool2d_grad_cpu_float32 | TypeError: max_unpool2d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 1 | ||
| nn_functional_max_unpool3d_grad_cpu_float32 | TypeError: max_unpool3d(): argument 'output_size' (position 3) must be tuple of ints, but found element of type SymInt at pos 1 | ||
| nn_functional_multi_margin_loss_cpu_float32 | NotImplementedError: could not find kernel for aten.multi_margin_loss.default at dispatch key DispatchKey.Meta | ||
| nn_functional_multilabel_margin_loss_cpu_float32 | NotImplementedError: could not find kernel for aten.multilabel_margin_loss_forward.default at dispatch key DispatchKey.Meta | ||
| nn_functional_pad_reflect_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_pad_replicate_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_pdist_cpu_float32 | NotImplementedError: could not find kernel for aten._pdist_forward.default at dispatch key DispatchKey.Meta | ||
| nn_functional_pixel_shuffle_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_pixel_unshuffle_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_rrelu_cpu_float32 | NotImplementedError: could not find kernel for aten.rrelu_with_noise.default at dispatch key DispatchKey.Meta | ||
| nn_functional_smooth_l1_loss_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| nn_functional_upsample_nearest_cpu_float32 | RuntimeError: SymIntArrayRef expected to contain only concrete integers | ||
| norm_nuc_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| normal_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| normal_number_mean_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| ormqr_cpu_float32 | NotImplementedError: could not find kernel for aten.ormqr.default at dispatch key DispatchKey.Meta | ||
| outer_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| pca_lowrank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| pinverse_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| polar_cpu_float32 | NotImplementedError: could not find kernel for aten.polar.out at dispatch key DispatchKey.Meta | ||
| polygamma_polygamma_n_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| polygamma_polygamma_n_1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| polygamma_polygamma_n_2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| polygamma_polygamma_n_3_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| polygamma_polygamma_n_4_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| qr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| quantile_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
| renorm_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| resize__cpu_float32 | 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.) | ||
| resize_as__cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| roll_cpu_float32 | IndexError: Dimension out of range (expected to be in range of [-s0, s0 - 1], but got Mod(-2, s0)) | ||
| searchsorted_cpu_float32 | NotImplementedError: could not find kernel for aten.searchsorted.Tensor at dispatch key DispatchKey.Meta | ||
| segment_reduce_lengths_cpu_float32 | NotImplementedError: could not find kernel for aten.segment_reduce.default at dispatch key DispatchKey.Meta | ||
| segment_reduce_offsets_cpu_float32 | NotImplementedError: could not find kernel for aten.segment_reduce.default at dispatch key DispatchKey.Meta | ||
| sparse_sampled_addmm_cpu_float32 | torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi | ||
| special_airy_ai_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_bessel_y0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_bessel_y1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_chebyshev_polynomial_t_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_chebyshev_polynomial_u_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_hermite_polynomial_h_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_hermite_polynomial_he_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_laguerre_polynomial_l_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_modified_bessel_i0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_modified_bessel_i1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_modified_bessel_k0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_modified_bessel_k1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_polygamma_special_polygamma_n_0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_scaled_modified_bessel_k0_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| special_scaled_modified_bessel_k1_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| stft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| sum_to_size_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| svd_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| svd_lowrank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| symeig_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| take_along_dim_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| take_cpu_float32 | NotImplementedError: could not find kernel for aten.take.default at dispatch key DispatchKey.Meta | ||
| tensor_split_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
| tensordot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| trapezoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| trapz_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| triangular_solve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| unflatten_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| view_as_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
| vsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides |
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