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skip_list_common.py
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skip_dict = {
"test_ops_xpu.py": (
# Skip list of base line
# XPU implementation doesn't claimn FP8 now
# https://github.com/intel/torch-xpu-ops/issues/461
"float8",
# workarounds for the following tests
# https://github.com/intel/torch-xpu-ops/issues/1214
"test_python_ref__refs_exp_xpu_complex128",
"test_python_ref__refs_sigmoid_xpu_complex128",
"test_python_ref_executor__refs_log2_executor_aten_xpu_complex128",
"test_python_ref_executor__refs_exp_executor_aten_xpu_complex128",
"test_python_ref_torch_fallback__refs_log2_xpu_complex128",
"test_python_ref_torch_fallback__refs_log10_xpu_complex128",
"test_python_ref_torch_fallback__refs_sigmoid_xpu_complex128",
"test_python_ref_executor__refs_log10_executor_aten_xpu_complex128",
"test_noncontiguous_samples_histogram_xpu_float32",
# TODO: Fix the following tests
"test_out_warning_torch__scaled_mm_xpu",
# To be removed from this file.
# CUDA and XPU both XFAIL now.
"test_out_narrow_copy_xpu_float32",
# This case is marked as skip but XPU failed. However, CUDA and XPU throw the same runtime error.
"test_out_histc_xpu_float32",
# Data type is not supported in oneDNN!
"test_dtypes_nn_functional_conv1d_xpu",
"test_dtypes_nn_functional_conv2d_xpu",
"test_dtypes_nn_functional_conv3d_xpu",
"test_dtypes_nn_functional_conv_transpose1d_xpu",
"test_dtypes_nn_functional_conv_transpose2d_xpu",
"test_dtypes_nn_functional_conv_transpose3d_xpu",
# AssertionError: The supported dtypes for nn.functional.softsign on device type xpu are incorrect!
"test_dtypes_nn_functional_softsign_xpu",
# AssertionError: The supported dtypes for sparse.sampled_addmm on device type xpu are incorrect! - OPs not supported
"test_dtypes_sparse_sampled_addmm_xpu",
# OPs not supported
"test_errors_dot_xpu",
"test_errors_vdot_xpu",
# Linalg OPs not supported
"test_noncontiguous_samples_linalg_det_xpu_float32",
"test_noncontiguous_samples_linalg_slogdet_xpu_float32",
"test_noncontiguous_samples_linalg_solve_ex_xpu_float32",
"test_noncontiguous_samples_linalg_solve_xpu_float32",
"test_noncontiguous_samples_linalg_tensorsolve_xpu_float32",
"test_noncontiguous_samples_logdet_xpu_float32",
# Sparse CSR OPs not supported
# RuntimeError: device type of values (xpu) must be CPU or CUDA or Meta
# https://github.com/intel/torch-xpu-ops/issues/357
"test_compare_cpu_sparse_sampled_addmm_xpu_float32",
"test_out_requires_grad_error_sparse_sampled_addmm_xpu_complex64",
"test_out_requires_grad_error_sparse_sampled_addmm_xpu_float32",
# OneDNN issues, https://github.com/intel/torch-xpu-ops/issues/253
# RuntimeError: Long is not supported in oneDNN!
# RuntimeError: could not create a primitive descriptor for a deconvolution forward propagation primitive
# RuntimeError: Double and complex datatype matmul is not supported in oneDNN
"test_noncontiguous_samples_nn_functional_conv3d_xpu_int64",
"test_noncontiguous_samples_nn_functional_conv_transpose1d_xpu_int64",
"test_noncontiguous_samples_nn_functional_conv_transpose2d_xpu_complex64",
"test_noncontiguous_samples_nn_functional_conv_transpose2d_xpu_float32",
"test_noncontiguous_samples_nn_functional_conv_transpose2d_xpu_int64",
"test_noncontiguous_samples_nn_functional_conv_transpose3d_xpu_complex64",
"test_noncontiguous_samples_nn_functional_conv_transpose3d_xpu_float32",
"test_noncontiguous_samples_nn_functional_conv_transpose3d_xpu_int64",
"test_noncontiguous_samples_nn_functional_conv1d_xpu_int64",
"test_noncontiguous_samples_nn_functional_conv2d_xpu_int64",
# Linalg OPs not supported
# RuntimeError: mode only supports CPU AND CUDA device type, got: xpu
# Issue https://github.com/intel/torch-xpu-ops/issues/327
"test_numpy_ref_linalg_tensorinv_xpu_float64",
# RuntimeError: could not create a primitive descriptor for a deconvolution
# https://github.com/intel/torch-xpu-ops/issues/253
"test_variant_consistency_eager_nn_functional_conv_transpose2d_xpu_complex64",
"test_variant_consistency_eager_nn_functional_conv_transpose2d_xpu_float32",
"test_variant_consistency_eager_nn_functional_conv_transpose3d_xpu_complex64",
"test_variant_consistency_eager_nn_functional_conv_transpose3d_xpu_float32",
# Linalg OPs not supported
"test_compare_cpu_linalg_lu_factor_ex_xpu_float32",
"test_compare_cpu_linalg_lu_factor_xpu_float32",
"test_compare_cpu_linalg_lu_xpu_float32",
# XPU hang. CUDA hang as well.
# https://github.com/pytorch/pytorch/issues/79528
"test_compare_cpu_special_hermite_polynomial_h_xpu_float32",
# XFAIL of CUDA and XPU, unexpected success in fallback
# Linalg OPs not supported
"test_out_cholesky_inverse_xpu_float32",
"test_out_geqrf_xpu_float32",
"test_out_ormqr_xpu_float32",
# XFAIL of CUDA, XPU got unexpected success
"test_python_ref__refs_div_no_rounding_mode_xpu_complex32",
"test_python_ref__refs_pow_xpu_complex32",
"test_python_ref_executor__refs_mul_executor_aten_xpu_complex32",
"test_python_ref_torch_fallback__refs_div_no_rounding_mode_xpu_complex32",
"test_python_ref__refs_pow_xpu_complex32",
"test_python_ref_executor__refs_mul_executor_aten_xpu_complex32",
"test_python_ref_torch_fallback__refs_div_no_rounding_mode_xpu_complex32",
"test_python_ref_torch_fallback__refs_pow_xpu_complex32",
# unexpected success because of cpu fallback
# Linalg OPs not supported
"test_out_triangular_solve_xpu_float32",
# Newly added:
# Cuda skipped it
"test_non_standard_bool_values_sort_xpu_bool", # The implementation aligns with CUDA, RuntimeError: "sort" not implemented for 'Bool'.
# Cuda XFAIL (stock pytorch commit: e7cf7d0)
"test_non_standard_bool_values_argsort_xpu_bool",
# Unexpected success
"test_python_ref_executor__refs_pow_executor_aten_xpu_complex32", # Didn't align with CUDA, Unexpected success
# Unexpected success
# "test_errors_histogramdd_xpu", #XFAIL now
# Jiterator is only supported on CUDA and ROCm GPUs, none are available.
# https://github.com/intel/torch-xpu-ops/issues/584
"_jiterator_",
# https://github.com/intel/torch-xpu-ops/issues/157
# Segfault:
"test_dtypes_nn_functional_multi_head_attention_forward_xpu", # https://github.com/intel/torch-xpu-ops/issues/157
# Linalg OPs not supported
"test_dtypes_pca_lowrank_xpu", # https://github.com/intel/torch-xpu-ops/issues/157
"test_dtypes_svd_lowrank_xpu", # https://github.com/intel/torch-xpu-ops/issues/157
# RuntimeError: Long is not supported in oneDNN!
"test_noncontiguous_samples_nn_functional_linear_xpu_int64", # https://github.com/intel/torch-xpu-ops/issues/157
# https://github.com/intel/torch-xpu-ops/issues/157
# Datatype not supported in oneDNN
"test_dtypes_addmm_decomposed_xpu",
"test_dtypes_addmm_xpu",
"test_dtypes_addmv_xpu",
"test_dtypes_addr_xpu",
"test_dtypes_baddbmm_xpu",
"test_dtypes_cholesky_inverse_xpu",
"test_dtypes_cholesky_solve_xpu",
"test_dtypes_cholesky_xpu",
"test_dtypes_corrcoef_xpu",
"test_dtypes_cov_xpu",
"test_dtypes_linalg_cholesky_ex_xpu",
"test_dtypes_linalg_cholesky_xpu",
"test_dtypes_linalg_cond_xpu",
"test_dtypes_linalg_det_singular_xpu",
"test_dtypes_linalg_det_xpu",
"test_dtypes_linalg_eig_xpu",
"test_dtypes_linalg_eigh_xpu",
"test_dtypes_linalg_eigvals_xpu",
"test_dtypes_linalg_eigvalsh_xpu",
"test_dtypes_linalg_inv_ex_xpu",
"test_dtypes_linalg_inv_xpu",
"test_dtypes_linalg_ldl_factor_ex_xpu",
"test_dtypes_linalg_ldl_factor_xpu",
"test_dtypes_linalg_ldl_solve_xpu",
"test_dtypes_linalg_lstsq_grad_oriented_xpu",
"test_dtypes_linalg_lstsq_xpu",
"test_dtypes_linalg_lu_factor_ex_xpu",
"test_dtypes_linalg_lu_factor_xpu",
"test_dtypes_linalg_lu_solve_xpu",
"test_dtypes_linalg_lu_xpu",
"test_dtypes_linalg_matrix_power_xpu",
"test_dtypes_linalg_matrix_rank_hermitian_xpu",
"test_dtypes_linalg_matrix_rank_xpu",
"test_dtypes_linalg_pinv_hermitian_xpu",
"test_dtypes_linalg_pinv_xpu",
"test_dtypes_linalg_qr_xpu",
"test_dtypes_linalg_slogdet_xpu",
"test_dtypes_linalg_solve_ex_xpu",
"test_dtypes_linalg_solve_xpu",
"test_dtypes_linalg_svd_xpu",
"test_dtypes_linalg_tensorinv_xpu",
"test_dtypes_linalg_tensorsolve_xpu",
"test_dtypes_logdet_xpu",
"test_dtypes_lu_solve_xpu",
"test_dtypes_lu_xpu",
"test_dtypes_mv_xpu",
"test_dtypes_nn_functional_scaled_dot_product_attention_xpu",
"test_dtypes_norm_nuc_xpu",
"test_dtypes_pinverse_xpu",
"test_dtypes_qr_xpu",
"test_dtypes_svd_xpu",
"test_dtypes_tensordot_xpu",
"test_dtypes_triangular_solve_xpu",
"test_noncontiguous_samples___rmatmul___xpu_complex64",
"test_noncontiguous_samples___rmatmul___xpu_int64",
"test_noncontiguous_samples_addbmm_xpu_complex64",
"test_noncontiguous_samples_addbmm_xpu_float32",
"test_noncontiguous_samples_addbmm_xpu_int64",
"test_noncontiguous_samples_addmm_decomposed_xpu_complex64",
"test_noncontiguous_samples_addmm_decomposed_xpu_int64",
"test_noncontiguous_samples_addmm_xpu_complex64",
"test_noncontiguous_samples_addmm_xpu_float32",
"test_noncontiguous_samples_addmm_xpu_int64",
"test_noncontiguous_samples_addmv_xpu_complex64",
"test_noncontiguous_samples_addmv_xpu_float32",
"test_noncontiguous_samples_addmv_xpu_int64",
"test_noncontiguous_samples_addr_xpu_complex64",
"test_noncontiguous_samples_baddbmm_xpu_complex64",
"test_noncontiguous_samples_baddbmm_xpu_int64",
"test_noncontiguous_samples_bmm_xpu_complex64",
"test_noncontiguous_samples_bmm_xpu_int64",
"test_noncontiguous_samples_cholesky_inverse_xpu_complex64",
"test_noncontiguous_samples_cholesky_solve_xpu_complex64",
"test_noncontiguous_samples_cholesky_xpu_complex64",
"test_noncontiguous_samples_corrcoef_xpu_complex64",
"test_noncontiguous_samples_cov_xpu_complex64",
"test_noncontiguous_samples_einsum_xpu_complex64",
"test_noncontiguous_samples_einsum_xpu_int64",
"test_noncontiguous_samples_geqrf_xpu_complex64",
"test_noncontiguous_samples_inner_xpu_complex64",
"test_noncontiguous_samples_inner_xpu_int64",
"test_noncontiguous_samples_linalg_cholesky_ex_xpu_complex64",
"test_noncontiguous_samples_linalg_cholesky_xpu_complex64",
"test_noncontiguous_samples_linalg_cond_xpu_complex64",
"test_noncontiguous_samples_linalg_det_xpu_complex64",
"test_noncontiguous_samples_linalg_eig_xpu_complex64",
"test_noncontiguous_samples_linalg_eig_xpu_float32",
"test_noncontiguous_samples_linalg_eigh_xpu_complex64",
"test_noncontiguous_samples_linalg_eigvals_xpu_complex64",
"test_noncontiguous_samples_linalg_eigvalsh_xpu_complex64",
"test_noncontiguous_samples_linalg_householder_product_xpu_complex64",
"test_noncontiguous_samples_linalg_inv_ex_xpu_complex64",
"test_noncontiguous_samples_linalg_inv_xpu_complex64",
"test_noncontiguous_samples_linalg_ldl_factor_ex_xpu_complex64",
"test_noncontiguous_samples_linalg_ldl_factor_xpu_complex64",
"test_noncontiguous_samples_linalg_ldl_solve_xpu_complex64",
"test_noncontiguous_samples_linalg_lstsq_grad_oriented_xpu_complex64",
"test_noncontiguous_samples_linalg_lstsq_xpu_complex64",
"test_noncontiguous_samples_linalg_lu_factor_ex_xpu_complex64",
"test_noncontiguous_samples_linalg_lu_factor_xpu_complex64",
"test_noncontiguous_samples_linalg_lu_solve_xpu_complex64",
"test_noncontiguous_samples_linalg_lu_xpu_complex64",
"test_noncontiguous_samples_linalg_matrix_norm_xpu_complex64",
"test_noncontiguous_samples_linalg_matrix_power_xpu_complex64",
"test_noncontiguous_samples_linalg_matrix_rank_hermitian_xpu_complex64",
"test_noncontiguous_samples_linalg_matrix_rank_xpu_complex64",
"test_noncontiguous_samples_linalg_norm_subgradients_at_zero_xpu_complex64",
"test_noncontiguous_samples_linalg_norm_xpu_complex64",
"test_noncontiguous_samples_linalg_pinv_hermitian_xpu_complex64",
"test_noncontiguous_samples_linalg_pinv_singular_xpu_complex64",
"test_noncontiguous_samples_linalg_pinv_xpu_complex64",
"test_noncontiguous_samples_linalg_qr_xpu_complex64",
"test_noncontiguous_samples_linalg_slogdet_xpu_complex64",
"test_noncontiguous_samples_linalg_solve_ex_xpu_complex64",
"test_noncontiguous_samples_linalg_solve_triangular_xpu_complex64",
"test_noncontiguous_samples_linalg_solve_xpu_complex64",
"test_noncontiguous_samples_linalg_svd_xpu_complex64",
"test_noncontiguous_samples_linalg_svdvals_xpu_complex64",
"test_noncontiguous_samples_linalg_tensorinv_xpu_complex64",
"test_noncontiguous_samples_linalg_tensorsolve_xpu_complex64",
"test_noncontiguous_samples_logdet_xpu_complex64",
"test_noncontiguous_samples_lu_solve_xpu_complex64",
"test_noncontiguous_samples_lu_xpu_complex64",
"test_noncontiguous_samples_matmul_xpu_complex64",
"test_noncontiguous_samples_matmul_xpu_int64",
"test_noncontiguous_samples_mm_xpu_complex64",
"test_noncontiguous_samples_mm_xpu_int64",
"test_noncontiguous_samples_mv_xpu_complex64",
"test_noncontiguous_samples_mv_xpu_int64",
"test_noncontiguous_samples_nn_functional_bilinear_xpu_int64",
"test_noncontiguous_samples_nn_functional_linear_xpu_complex64",
"test_noncontiguous_samples_norm_nuc_xpu_complex64",
"test_noncontiguous_samples_ormqr_xpu_complex64",
"test_noncontiguous_samples_pinverse_xpu_complex64",
"test_noncontiguous_samples_qr_xpu_complex64",
"test_noncontiguous_samples_svd_xpu_complex64",
"test_noncontiguous_samples_tensordot_xpu_complex64",
"test_noncontiguous_samples_tensordot_xpu_int64",
"test_noncontiguous_samples_triangular_solve_xpu_complex64",
"test_numpy_ref_addbmm_xpu_complex128",
"test_numpy_ref_addbmm_xpu_float64",
"test_numpy_ref_addbmm_xpu_int64",
"test_numpy_ref_linalg_tensorinv_xpu_complex128",
"test_out_addbmm_xpu_float32",
"test_out_addmm_xpu_float32",
"test_out_addmv_xpu_float32",
"test_out_baddbmm_xpu_float32",
"test_out_mm_xpu_float32",
"test_out_mv_xpu_float32",
"test_out_requires_grad_error_addbmm_xpu_complex64",
"test_out_requires_grad_error_addmm_decomposed_xpu_complex64",
"test_out_requires_grad_error_addmm_xpu_complex64",
"test_out_requires_grad_error_addmv_xpu_complex64",
"test_out_requires_grad_error_baddbmm_xpu_complex64",
"test_out_requires_grad_error_bmm_xpu_complex64",
"test_out_requires_grad_error_cholesky_inverse_xpu_complex64",
"test_out_requires_grad_error_cholesky_solve_xpu_complex64",
"test_out_requires_grad_error_cholesky_xpu_complex64",
"test_out_requires_grad_error_inner_xpu_complex64",
"test_out_requires_grad_error_linalg_cholesky_ex_xpu_complex64",
"test_out_requires_grad_error_linalg_cholesky_xpu_complex64",
"test_out_requires_grad_error_linalg_det_singular_xpu_complex64",
"test_out_requires_grad_error_linalg_eig_xpu_complex64",
"test_out_requires_grad_error_linalg_eigh_xpu_complex64",
"test_out_requires_grad_error_linalg_eigvals_xpu_complex64",
"test_out_requires_grad_error_linalg_eigvalsh_xpu_complex64",
"test_out_requires_grad_error_linalg_inv_ex_xpu_complex64",
"test_out_requires_grad_error_linalg_inv_xpu_complex64",
"test_out_requires_grad_error_linalg_lstsq_xpu_complex64",
"test_out_requires_grad_error_linalg_lu_factor_xpu_complex64",
"test_out_requires_grad_error_linalg_lu_solve_xpu_complex64",
"test_out_requires_grad_error_linalg_multi_dot_xpu_complex64",
"test_out_requires_grad_error_linalg_pinv_hermitian_xpu_complex64",
"test_out_requires_grad_error_linalg_pinv_xpu_complex64",
"test_out_requires_grad_error_linalg_qr_xpu_complex64",
"test_out_requires_grad_error_linalg_solve_ex_xpu_complex64",
"test_out_requires_grad_error_linalg_solve_xpu_complex64",
"test_out_requires_grad_error_linalg_tensorinv_xpu_complex64",
"test_out_requires_grad_error_lu_solve_xpu_complex64",
"test_out_requires_grad_error_lu_xpu_complex64",
"test_out_requires_grad_error_mm_xpu_complex64",
"test_out_requires_grad_error_mv_xpu_complex64",
"test_out_requires_grad_error_nn_functional_linear_xpu_complex64",
"test_out_requires_grad_error_qr_xpu_complex64",
"test_out_requires_grad_error_tensordot_xpu_complex64",
"test_out_requires_grad_error_triangular_solve_xpu_complex64",
"test_out_warning_addmm_decomposed_xpu",
"test_out_warning_addmm_xpu",
"test_out_warning_addmv_xpu",
"test_out_warning_baddbmm_xpu",
"test_out_warning_bmm_xpu",
"test_out_warning_matmul_xpu",
"test_out_warning_mm_xpu",
"test_out_warning_mv_xpu",
"test_out_warning_nn_functional_linear_xpu",
"test_python_ref__refs_linalg_svd_xpu_complex128",
"test_python_ref__refs_linalg_svd_xpu_complex64",
"test_python_ref__refs_linalg_svd_xpu_float64",
"test_python_ref_executor__refs_linalg_svd_executor_aten_xpu_complex128",
"test_python_ref_executor__refs_linalg_svd_executor_aten_xpu_complex64",
"test_python_ref_executor__refs_linalg_svd_executor_aten_xpu_float64",
"test_python_ref_executor__refs_nn_functional_pdist_executor_aten_xpu_float64",
"test_python_ref_meta__refs_linalg_svd_xpu_complex128",
"test_python_ref_meta__refs_linalg_svd_xpu_complex64",
"test_python_ref_meta__refs_linalg_svd_xpu_float64",
"test_python_ref_meta__refs_nn_functional_pdist_xpu_float64",
"test_python_ref_torch_fallback__refs_linalg_svd_xpu_complex128",
"test_python_ref_torch_fallback__refs_linalg_svd_xpu_complex64",
"test_python_ref_torch_fallback__refs_linalg_svd_xpu_float64",
"test_python_ref_torch_fallback__refs_nn_functional_pdist_xpu_float64",
"test_variant_consistency_eager___rmatmul___xpu_complex64",
"test_variant_consistency_eager_addmm_decomposed_xpu_complex64",
"test_variant_consistency_eager_addmm_xpu_complex64",
"test_variant_consistency_eager_addmm_xpu_float32",
"test_variant_consistency_eager_addmv_xpu_complex64",
"test_variant_consistency_eager_addmv_xpu_float32",
"test_variant_consistency_eager_baddbmm_xpu_complex64",
"test_variant_consistency_eager_baddbmm_xpu_float32",
"test_variant_consistency_eager_bmm_xpu_complex64",
"test_variant_consistency_eager_cholesky_inverse_xpu_complex64",
"test_variant_consistency_eager_cholesky_solve_xpu_complex64",
"test_variant_consistency_eager_cholesky_xpu_complex64",
"test_variant_consistency_eager_corrcoef_xpu_complex64",
"test_variant_consistency_eager_cov_xpu_complex64",
"test_variant_consistency_eager_einsum_xpu_complex64",
"test_variant_consistency_eager_geqrf_xpu_complex64",
"test_variant_consistency_eager_inner_xpu_complex64",
"test_variant_consistency_eager_linalg_cholesky_ex_xpu_complex64",
"test_variant_consistency_eager_linalg_cholesky_xpu_complex64",
"test_variant_consistency_eager_linalg_cond_xpu_complex64",
"test_variant_consistency_eager_linalg_det_singular_xpu_complex64",
"test_variant_consistency_eager_linalg_det_xpu_complex64",
"test_variant_consistency_eager_linalg_eig_xpu_complex64",
"test_variant_consistency_eager_linalg_eigh_xpu_complex64",
"test_variant_consistency_eager_linalg_eigvals_xpu_complex64",
"test_variant_consistency_eager_linalg_eigvalsh_xpu_complex64",
"test_variant_consistency_eager_linalg_householder_product_xpu_complex64",
"test_variant_consistency_eager_linalg_inv_ex_xpu_complex64",
"test_variant_consistency_eager_linalg_inv_xpu_complex64",
"test_variant_consistency_eager_linalg_ldl_factor_ex_xpu_complex64",
"test_variant_consistency_eager_linalg_ldl_factor_xpu_complex64",
"test_variant_consistency_eager_linalg_ldl_solve_xpu_complex64",
"test_variant_consistency_eager_linalg_lstsq_grad_oriented_xpu_complex64",
"test_variant_consistency_eager_linalg_lstsq_xpu_complex64",
"test_variant_consistency_eager_linalg_lu_factor_xpu_complex64",
"test_variant_consistency_eager_linalg_lu_solve_xpu_complex64",
"test_variant_consistency_eager_linalg_matrix_norm_xpu_complex64",
"test_variant_consistency_eager_linalg_matrix_power_xpu_complex64",
"test_variant_consistency_eager_linalg_matrix_rank_hermitian_xpu_complex64",
"test_variant_consistency_eager_linalg_matrix_rank_xpu_complex64",
"test_variant_consistency_eager_linalg_multi_dot_xpu_complex64",
"test_variant_consistency_eager_linalg_norm_subgradients_at_zero_xpu_complex64",
"test_variant_consistency_eager_linalg_norm_xpu_complex64",
"test_variant_consistency_eager_linalg_pinv_hermitian_xpu_complex64",
"test_variant_consistency_eager_linalg_pinv_singular_xpu_complex64",
"test_variant_consistency_eager_linalg_pinv_xpu_complex64",
"test_variant_consistency_eager_linalg_qr_xpu_complex64",
"test_variant_consistency_eager_linalg_slogdet_xpu_complex64",
"test_variant_consistency_eager_linalg_solve_ex_xpu_complex64",
"test_variant_consistency_eager_linalg_solve_triangular_xpu_complex64",
"test_variant_consistency_eager_linalg_solve_xpu_complex64",
"test_variant_consistency_eager_linalg_svd_xpu_complex64",
"test_variant_consistency_eager_linalg_svdvals_xpu_complex64",
"test_variant_consistency_eager_linalg_tensorinv_xpu_complex64",
"test_variant_consistency_eager_linalg_tensorsolve_xpu_complex64",
"test_variant_consistency_eager_logdet_xpu_complex64",
"test_variant_consistency_eager_lu_solve_xpu_complex64",
"test_variant_consistency_eager_lu_xpu_complex64",
"test_variant_consistency_eager_matmul_xpu_complex64",
"test_variant_consistency_eager_mm_xpu_complex64",
"test_variant_consistency_eager_mv_xpu_complex64",
"test_variant_consistency_eager_nn_functional_linear_xpu_complex64",
"test_variant_consistency_eager_norm_nuc_xpu_complex64",
"test_variant_consistency_eager_ormqr_xpu_complex64",
"test_variant_consistency_eager_pinverse_xpu_complex64",
"test_variant_consistency_eager_qr_xpu_complex64",
"test_variant_consistency_eager_svd_xpu_complex64",
"test_variant_consistency_eager_tensordot_xpu_complex64",
"test_variant_consistency_eager_triangular_solve_xpu_complex64",
# oneDNN issues
# RuntimeError: value cannot be converted to type float without overflow
# https://github.com/intel/torch-xpu-ops/issues/683
"test_conj_view_addbmm_xpu_complex64",
"test_neg_conj_view_addbmm_xpu_complex128",
### Error #0 in TestMathBitsXPU , RuntimeError: Double and complex datatype matmul is not supported in oneDNN
# https://github.com/intel/torch-xpu-ops/issues/254
"test_conj_view___rmatmul___xpu_complex64",
"test_conj_view__refs_linalg_svd_xpu_complex64",
"test_conj_view_addmm_decomposed_xpu_complex64",
"test_conj_view_addmm_xpu_complex64",
"test_conj_view_addmv_xpu_complex64",
"test_conj_view_addr_xpu_complex64",
"test_conj_view_baddbmm_xpu_complex64",
"test_conj_view_bmm_xpu_complex64",
"test_conj_view_cholesky_inverse_xpu_complex64",
"test_conj_view_cholesky_solve_xpu_complex64",
"test_conj_view_cholesky_xpu_complex64",
"test_conj_view_corrcoef_xpu_complex64",
"test_conj_view_cov_xpu_complex64",
"test_conj_view_einsum_xpu_complex64",
"test_conj_view_geqrf_xpu_complex64",
"test_conj_view_inner_xpu_complex64",
"test_conj_view_linalg_cholesky_ex_xpu_complex64",
"test_conj_view_linalg_cholesky_xpu_complex64",
"test_conj_view_linalg_cond_xpu_complex64",
"test_conj_view_linalg_det_singular_xpu_complex64",
"test_conj_view_linalg_det_xpu_complex64",
"test_conj_view_linalg_eig_xpu_complex64",
"test_conj_view_linalg_eigh_xpu_complex64",
"test_conj_view_linalg_eigvals_xpu_complex64",
"test_conj_view_linalg_eigvalsh_xpu_complex64",
"test_conj_view_linalg_householder_product_xpu_complex64",
"test_conj_view_linalg_inv_ex_xpu_complex64",
"test_conj_view_linalg_inv_xpu_complex64",
"test_conj_view_linalg_ldl_factor_ex_xpu_complex64",
"test_conj_view_linalg_ldl_factor_xpu_complex64",
"test_conj_view_linalg_ldl_solve_xpu_complex64",
"test_conj_view_linalg_lstsq_grad_oriented_xpu_complex64",
"test_conj_view_linalg_lstsq_xpu_complex64",
"test_conj_view_linalg_lu_factor_xpu_complex64",
"test_conj_view_linalg_lu_solve_xpu_complex64",
"test_conj_view_linalg_matrix_norm_xpu_complex64",
"test_conj_view_linalg_matrix_power_xpu_complex64",
"test_conj_view_linalg_matrix_rank_hermitian_xpu_complex64",
"test_conj_view_linalg_matrix_rank_xpu_complex64",
"test_conj_view_linalg_multi_dot_xpu_complex64",
"test_conj_view_linalg_norm_subgradients_at_zero_xpu_complex64",
"test_conj_view_linalg_norm_xpu_complex64",
"test_conj_view_linalg_pinv_hermitian_xpu_complex64",
"test_conj_view_linalg_pinv_singular_xpu_complex64",
"test_conj_view_linalg_pinv_xpu_complex64",
"test_conj_view_linalg_qr_xpu_complex64",
"test_conj_view_linalg_slogdet_xpu_complex64",
"test_conj_view_linalg_solve_ex_xpu_complex64",
"test_conj_view_linalg_solve_triangular_xpu_complex64",
"test_conj_view_linalg_solve_xpu_complex64",
"test_conj_view_linalg_svd_xpu_complex64",
"test_conj_view_linalg_svdvals_xpu_complex64",
"test_conj_view_linalg_tensorinv_xpu_complex64",
"test_conj_view_linalg_tensorsolve_xpu_complex64",
"test_conj_view_logdet_xpu_complex64",
"test_conj_view_lu_solve_xpu_complex64",
"test_conj_view_lu_xpu_complex64",
"test_conj_view_matmul_xpu_complex64",
"test_conj_view_mm_xpu_complex64",
"test_conj_view_mv_xpu_complex64",
"test_conj_view_nn_functional_linear_xpu_complex64",
"test_conj_view_norm_nuc_xpu_complex64",
"test_conj_view_ormqr_xpu_complex64",
"test_conj_view_pinverse_xpu_complex64",
"test_conj_view_qr_xpu_complex64",
"test_conj_view_svd_xpu_complex64",
"test_conj_view_tensordot_xpu_complex64",
"test_conj_view_triangular_solve_xpu_complex64",
"test_neg_conj_view_addmm_decomposed_xpu_complex128",
"test_neg_conj_view_addmm_xpu_complex128",
"test_neg_conj_view_addmv_xpu_complex128",
"test_neg_conj_view_addr_xpu_complex128",
"test_neg_conj_view_baddbmm_xpu_complex128",
"test_neg_conj_view_bmm_xpu_complex128",
"test_neg_conj_view_cholesky_inverse_xpu_complex128",
"test_neg_conj_view_cholesky_solve_xpu_complex128",
"test_neg_conj_view_cholesky_xpu_complex128",
"test_neg_conj_view_corrcoef_xpu_complex128",
"test_neg_conj_view_cov_xpu_complex128",
"test_neg_conj_view_geqrf_xpu_complex128",
"test_neg_conj_view_inner_xpu_complex128",
"test_neg_conj_view_linalg_cholesky_ex_xpu_complex128",
"test_neg_conj_view_linalg_cholesky_xpu_complex128",
"test_neg_conj_view_linalg_cond_xpu_complex128",
"test_neg_conj_view_linalg_det_singular_xpu_complex128",
"test_neg_conj_view_linalg_eig_xpu_complex128",
"test_neg_conj_view_linalg_eigh_xpu_complex128",
"test_neg_conj_view_linalg_eigvals_xpu_complex128",
"test_neg_conj_view_linalg_eigvalsh_xpu_complex128",
"test_neg_conj_view_linalg_householder_product_xpu_complex128",
"test_neg_conj_view_linalg_inv_ex_xpu_complex128",
"test_neg_conj_view_linalg_inv_xpu_complex128",
"test_neg_conj_view_linalg_ldl_factor_ex_xpu_complex128",
"test_neg_conj_view_linalg_ldl_factor_xpu_complex128",
"test_neg_conj_view_linalg_ldl_solve_xpu_complex128",
"test_neg_conj_view_linalg_lstsq_grad_oriented_xpu_complex128",
"test_neg_conj_view_linalg_lstsq_xpu_complex128",
"test_neg_conj_view_linalg_lu_factor_xpu_complex128",
"test_neg_conj_view_linalg_lu_solve_xpu_complex128",
"test_neg_conj_view_linalg_matrix_rank_hermitian_xpu_complex128",
"test_neg_conj_view_linalg_matrix_rank_xpu_complex128",
"test_neg_conj_view_linalg_multi_dot_xpu_complex128",
"test_neg_conj_view_linalg_pinv_hermitian_xpu_complex128",
"test_neg_conj_view_linalg_pinv_singular_xpu_complex128",
"test_neg_conj_view_linalg_pinv_xpu_complex128",
"test_neg_conj_view_linalg_qr_xpu_complex128",
"test_neg_conj_view_linalg_solve_ex_xpu_complex128",
"test_neg_conj_view_linalg_solve_triangular_xpu_complex128",
"test_neg_conj_view_linalg_solve_xpu_complex128",
"test_neg_conj_view_linalg_svdvals_xpu_complex128",
"test_neg_conj_view_linalg_tensorinv_xpu_complex128",
"test_neg_conj_view_linalg_tensorsolve_xpu_complex128",
"test_neg_conj_view_lu_solve_xpu_complex128",
"test_neg_conj_view_lu_xpu_complex128",
"test_neg_conj_view_mm_xpu_complex128",
"test_neg_conj_view_mv_xpu_complex128",
"test_neg_conj_view_nn_functional_linear_xpu_complex128",
"test_neg_conj_view_norm_nuc_xpu_complex128",
"test_neg_conj_view_ormqr_xpu_complex128",
"test_neg_conj_view_pinverse_xpu_complex128",
"test_neg_conj_view_qr_xpu_complex128",
"test_neg_conj_view_tensordot_xpu_complex128",
"test_neg_conj_view_triangular_solve_xpu_complex128",
"test_neg_view___rmatmul___xpu_float64",
"test_neg_view__refs_linalg_svd_xpu_float64",
"test_neg_view__refs_nn_functional_pdist_xpu_float64",
"test_neg_view_addbmm_xpu_float64",
"test_neg_view_addmm_decomposed_xpu_float64",
"test_neg_view_addmm_xpu_float64",
"test_neg_view_addmv_xpu_float64",
"test_neg_view_addr_xpu_float64",
"test_neg_view_baddbmm_xpu_float64",
"test_neg_view_bmm_xpu_float64",
"test_neg_view_cdist_xpu_float64",
"test_neg_view_cholesky_inverse_xpu_float64",
"test_neg_view_cholesky_solve_xpu_float64",
"test_neg_view_cholesky_xpu_float64",
"test_neg_view_corrcoef_xpu_float64",
"test_neg_view_cov_xpu_float64",
"test_neg_view_einsum_xpu_float64",
"test_neg_view_geqrf_xpu_float64",
"test_neg_view_inner_xpu_float64",
"test_neg_view_linalg_cholesky_ex_xpu_float64",
"test_neg_view_linalg_cholesky_xpu_float64",
"test_neg_view_linalg_cond_xpu_float64",
"test_neg_view_linalg_det_singular_xpu_float64",
"test_neg_view_linalg_det_xpu_float64",
"test_neg_view_linalg_eig_xpu_float64",
"test_neg_view_linalg_eigh_xpu_float64",
"test_neg_view_linalg_eigvals_xpu_float64",
"test_neg_view_linalg_eigvalsh_xpu_float64",
"test_neg_view_linalg_householder_product_xpu_float64",
"test_neg_view_linalg_inv_ex_xpu_float64",
"test_neg_view_linalg_inv_xpu_float64",
"test_neg_view_linalg_ldl_factor_ex_xpu_float64",
"test_neg_view_linalg_ldl_factor_xpu_float64",
"test_neg_view_linalg_ldl_solve_xpu_float64",
"test_neg_view_linalg_lstsq_grad_oriented_xpu_float64",
"test_neg_view_linalg_lstsq_xpu_float64",
"test_neg_view_linalg_lu_factor_xpu_float64",
"test_neg_view_linalg_lu_solve_xpu_float64",
"test_neg_view_linalg_matrix_norm_xpu_float64",
"test_neg_view_linalg_matrix_power_xpu_float64",
"test_neg_view_linalg_matrix_rank_hermitian_xpu_float64",
"test_neg_view_linalg_matrix_rank_xpu_float64",
"test_neg_view_linalg_multi_dot_xpu_float64",
"test_neg_view_linalg_norm_subgradients_at_zero_xpu_float64",
"test_neg_view_linalg_norm_xpu_float64",
"test_neg_view_linalg_pinv_hermitian_xpu_float64",
"test_neg_view_linalg_pinv_singular_xpu_float64",
"test_neg_view_linalg_pinv_xpu_float64",
"test_neg_view_linalg_qr_xpu_float64",
"test_neg_view_linalg_slogdet_xpu_float64",
"test_neg_view_linalg_solve_ex_xpu_float64",
"test_neg_view_linalg_solve_triangular_xpu_float64",
"test_neg_view_linalg_solve_xpu_float64",
"test_neg_view_linalg_svd_xpu_float64",
"test_neg_view_linalg_svdvals_xpu_float64",
"test_neg_view_linalg_tensorinv_xpu_float64",
"test_neg_view_linalg_tensorsolve_xpu_float64",
"test_neg_view_logdet_xpu_float64",
"test_neg_view_lu_solve_xpu_float64",
"test_neg_view_lu_xpu_float64",
"test_neg_view_matmul_xpu_float64",
"test_neg_view_mm_xpu_float64",
"test_neg_view_mv_xpu_float64",
"test_neg_view_nn_functional_bilinear_xpu_float64",
"test_neg_view_nn_functional_linear_xpu_float64",
"test_neg_view_nn_functional_multi_head_attention_forward_xpu_float64",
"test_neg_view_nn_functional_scaled_dot_product_attention_xpu_float64",
"test_neg_view_norm_nuc_xpu_float64",
"test_neg_view_ormqr_xpu_float64",
"test_neg_view_pca_lowrank_xpu_float64",
"test_neg_view_pinverse_xpu_float64",
"test_neg_view_qr_xpu_float64",
"test_neg_view_svd_lowrank_xpu_float64",
"test_neg_view_svd_xpu_float64",
"test_neg_view_tensordot_xpu_float64",
"test_neg_view_triangular_solve_xpu_float64",
"test_noncontiguous_samples_pca_lowrank_xpu_complex64",
"test_noncontiguous_samples_svd_lowrank_xpu_complex64",
"test_variant_consistency_eager_pca_lowrank_xpu_complex64",
"test_variant_consistency_eager_svd_lowrank_xpu_complex64",
"test_conj_view_pca_lowrank_xpu_complex64",
"test_conj_view_svd_lowrank_xpu_complex64",
"test_neg_conj_view_pca_lowrank_xpu_complex128",
"test_neg_conj_view_svd_lowrank_xpu_complex128",
# oneDNN issues
### Error #1 in TestMathBitsXPU , RuntimeError: could not create a primitive descriptor for a deconvolution forward propagation primitive
# https://github.com/intel/torch-xpu-ops/issues/253
"test_conj_view_nn_functional_conv_transpose2d_xpu_complex64",
"test_conj_view_nn_functional_conv_transpose3d_xpu_complex64",
"test_neg_view_nn_functional_conv_transpose2d_xpu_float64",
"test_neg_view_nn_functional_conv_transpose3d_xpu_float64",
# implemented aten::histogram to align MPS operators coverage, CUDA doesn't support
# but test_dtypes infrastructure leverage CUDA supported datatypes
"test_dtypes_histogram_xpu",
# Unexpected success, CUDA got XFAIL because CUDA does not have historgramadd supported
"test_errors_histogramdd_xpu",
# 2025 bundle std::pow complex result is different on host and device
"test_python_ref__refs_square_xpu_complex64",
"test_python_ref_torch_fallback__refs_square_xpu_complex64",
"test_python_ref_torch_fallback__refs_exp_xpu_complex128",
# Failed on rolling driver, passed on preci
"test_python_ref__refs_div_trunc_rounding_xpu_float64",
"test_python_ref_executor__refs_div_trunc_rounding_executor_aten_xpu_float64",
"test_python_ref_torch_fallback__refs_div_trunc_rounding_xpu_float64",
# TODO: passed from source code building version, investigate
"test_python_ref__refs_log2_xpu_complex128",
# The following dtypes did not work in backward but are listed by the OpInfo: {torch.bfloat16}.
"test_dtypes_fft_fft2_xpu",
"test_dtypes_fft_fft_xpu",
"test_dtypes_fft_fftn_xpu",
"test_dtypes_fft_hfft2_xpu",
"test_dtypes_fft_hfft_xpu",
"test_dtypes_fft_hfftn_xpu",
"test_dtypes_fft_ifft2_xpu",
"test_dtypes_fft_ifft_xpu",
"test_dtypes_fft_ifftn_xpu",
"test_dtypes_fft_ihfft2_xpu",
"test_dtypes_fft_ihfft_xpu",
"test_dtypes_fft_ihfftn_xpu",
"test_dtypes_fft_irfft2_xpu",
"test_dtypes_fft_irfft_xpu",
"test_dtypes_fft_irfftn_xpu",
"test_dtypes_fft_rfft2_xpu",
"test_dtypes_fft_rfft_xpu",
"test_dtypes_fft_rfftn_xpu",
),
"test_binary_ufuncs_xpu.py": (
"test_fmod_remainder_by_zero_integral_xpu_int64", # zero division is an undefined behavior: different handles on different backends
"test_div_rounding_numpy_xpu_float16", # Calculation error. XPU implementation uses opmath type.
# AssertionError: Jiterator is only supported on CUDA and ROCm GPUs, none are available.
"_jiterator_",
# nextafter: Numeric error due to `std::nextafter` difference between CPU (GCC) and XPU (SYCL)
# https://github.com/intel/torch-xpu-ops/issues/623
# AssertionError: Scalars are not equal!
# Expected 9.183549615799121e-41 but got 0.0.
# Absolute difference: 9.183549615799121e-41
# Relative difference: 1.0
"test_nextafter_bfloat16_xpu_bfloat16",
),
"test_scatter_gather_ops_xpu.py": (
# AssertionError: Tensor-likes are not equal!
# Mismatched elements: 2 / 1870 (0.1%)
# Greatest absolute difference: 2.220446049250313e-16 at index (14, 9, 4)
# Greatest relative difference: 1.7039539596977877e-16 at index (15, 7, 6)
"test_scatter_reduce_mean_xpu_float64",
),
"test_autograd_fallback_xpu.py": None,
"test_sort_and_select_xpu.py": (
"test_sort_large_slice_xpu",
), # Hard code CUDA, UT has already been rewritten to test/regressions/test_sort.py.
"nn/test_embedding_xpu.py": (
# NotImplementedError: Could not run 'aten::_indices' with arguments from the 'SparseXPU' backend.
"test_embedding_bag_device_xpu_int32_int32_float16",
"test_embedding_bag_device_xpu_int32_int32_float32",
"test_embedding_bag_device_xpu_int32_int32_float64",
"test_embedding_bag_device_xpu_int32_int64_float16",
"test_embedding_bag_device_xpu_int32_int64_float32",
"test_embedding_bag_device_xpu_int32_int64_float64",
"test_embedding_bag_device_xpu_int64_int32_float16",
"test_embedding_bag_device_xpu_int64_int32_float32",
"test_embedding_bag_device_xpu_int64_int32_float64",
"test_embedding_bag_device_xpu_int64_int64_float16",
"test_embedding_bag_device_xpu_int64_int64_float32",
"test_embedding_bag_device_xpu_int64_int64_float64",
# CUDA implementation has no such functionality due to performance consideration.
# skipped by CUDA for performance
# @skipCUDAIf(True, "no out-of-bounds check on CUDA for perf.")
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_xpu_float64_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_xpu_float64_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_xpu_float64_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_xpu_float64_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_xpu_float64_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_xpu_float32_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_xpu_float32_int64",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_xpu_float64_int32",
"test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_xpu_float64_int64",
),
"test_transformers_xpu.py": (
# https://github.com/intel/torch-xpu-ops/issues/761
# AssertionError: False is not true
# CPU fallback failure. To support aten::transformer_encoder_layer_forward with proper priority.
"test_disable_fastpath_xpu",
# We have no mechanism to handle SDPBackend::ERROR so far. Will give a fully support when we support all SDPBackends.
"test_dispatch_fails_no_backend_xpu",
# NestedTensorXPU not supported
# Could not run 'aten::_to_copy' with arguments from the 'NestedTensorXPU' backend
"test_with_nested_tensor_input_xpu",
# oneDNN issues
# Double and complex datatype matmul is not supported in oneDNN
# https://github.com/intel/torch-xpu-ops/issues/253
"test_sdp_math_gradcheck_contiguous_inputs_False_xpu",
"test_sdp_math_gradcheck_contiguous_inputs_True_xpu",
"test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_xpu",
"test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_xpu",
"test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_xpu",
"test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_xpu",
"test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_xpu",
"test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_xpu",
"test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_xpu",
"test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_xpu",
"test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_xpu",
"test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_xpu",
),
"test_complex_xpu.py": None,
"test_modules_xpu.py": (
# oneDNN issues
# RuntimeError: Double and complex datatype matmul is not supported in oneDNN
"test_cpu_gpu_parity_nn_Bilinear_xpu_float64",
"test_cpu_gpu_parity_nn_GRUCell_xpu_float64",
"test_cpu_gpu_parity_nn_GRU_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_GRU_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_LSTMCell_xpu_float64",
"test_cpu_gpu_parity_nn_LSTM_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_LSTM_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_Linear_xpu_float64",
"test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_RNNCell_xpu_float64",
"test_cpu_gpu_parity_nn_RNN_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_RNN_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_TransformerDecoderLayer_xpu_float64",
"test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_xpu_float64",
"test_cpu_gpu_parity_nn_Transformer_xpu_float64",
"test_forward_nn_Bilinear_xpu_float64",
"test_forward_nn_GRUCell_xpu_float64",
"test_forward_nn_GRU_eval_mode_xpu_float64",
"test_forward_nn_GRU_train_mode_xpu_float64",
"test_forward_nn_LSTMCell_xpu_float64",
"test_forward_nn_LSTM_eval_mode_xpu_float64",
"test_forward_nn_LSTM_train_mode_xpu_float64",
"test_forward_nn_Linear_xpu_float64",
"test_forward_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_forward_nn_MultiheadAttention_train_mode_xpu_float64",
"test_forward_nn_RNNCell_xpu_float64",
"test_forward_nn_RNN_eval_mode_xpu_float64",
"test_forward_nn_RNN_train_mode_xpu_float64",
"test_forward_nn_TransformerDecoderLayer_xpu_float64",
"test_forward_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_forward_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_forward_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_forward_nn_TransformerEncoder_train_mode_xpu_float64",
"test_forward_nn_Transformer_xpu_float64",
"test_grad_nn_Bilinear_xpu_float64",
"test_grad_nn_GRUCell_xpu_float64",
"test_grad_nn_GRU_eval_mode_xpu_float64",
"test_grad_nn_GRU_train_mode_xpu_float64",
"test_grad_nn_LSTMCell_xpu_float64",
"test_grad_nn_LSTM_eval_mode_xpu_float64",
"test_grad_nn_LSTM_train_mode_xpu_float64",
"test_grad_nn_Linear_xpu_float64",
"test_grad_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_grad_nn_MultiheadAttention_train_mode_xpu_float64",
"test_grad_nn_RNNCell_xpu_float64",
"test_grad_nn_RNN_eval_mode_xpu_float64",
"test_grad_nn_RNN_train_mode_xpu_float64",
"test_grad_nn_TransformerDecoderLayer_xpu_float64",
"test_grad_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_grad_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_grad_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_grad_nn_TransformerEncoder_train_mode_xpu_float64",
"test_grad_nn_Transformer_xpu_float64",
"test_gradgrad_nn_Bilinear_xpu_float64",
"test_gradgrad_nn_GRUCell_xpu_float64",
"test_gradgrad_nn_GRU_eval_mode_xpu_float64",
"test_gradgrad_nn_GRU_train_mode_xpu_float64",
"test_gradgrad_nn_LSTMCell_xpu_float64",
"test_gradgrad_nn_LSTM_eval_mode_xpu_float64",
"test_gradgrad_nn_LSTM_train_mode_xpu_float64",
"test_gradgrad_nn_Linear_xpu_float64",
"test_gradgrad_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_gradgrad_nn_MultiheadAttention_train_mode_xpu_float64",
"test_gradgrad_nn_RNNCell_xpu_float64",
"test_gradgrad_nn_RNN_eval_mode_xpu_float64",
"test_gradgrad_nn_RNN_train_mode_xpu_float64",
"test_gradgrad_nn_TransformerDecoderLayer_xpu_float64",
"test_gradgrad_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_gradgrad_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_gradgrad_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_gradgrad_nn_TransformerEncoder_train_mode_xpu_float64",
"test_gradgrad_nn_Transformer_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_Bilinear_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_GRUCell_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_LSTMCell_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_Linear_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_RNNCell_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_TransformerEncoder_xpu_float64",
"test_if_train_and_eval_modes_differ_nn_Transformer_xpu_float64",
"test_memory_format_nn_GRUCell_xpu_float64",
"test_memory_format_nn_GRU_eval_mode_xpu_float64",
"test_memory_format_nn_GRU_train_mode_xpu_float64",
"test_memory_format_nn_LSTMCell_xpu_float64",
"test_memory_format_nn_LSTM_eval_mode_xpu_float64",
"test_memory_format_nn_LSTM_train_mode_xpu_float64",
"test_memory_format_nn_RNNCell_xpu_float64",
"test_memory_format_nn_RNN_eval_mode_xpu_float64",
"test_memory_format_nn_RNN_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_Bilinear_xpu_float64",
"test_multiple_device_transfer_nn_GRUCell_xpu_float64",
"test_multiple_device_transfer_nn_GRU_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_GRU_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_LSTMCell_xpu_float64",
"test_multiple_device_transfer_nn_LSTM_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_LSTM_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_Linear_xpu_float64",
"test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_MultiheadAttention_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_RNNCell_xpu_float64",
"test_multiple_device_transfer_nn_RNN_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_RNN_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_TransformerDecoderLayer_xpu_float64",
"test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_multiple_device_transfer_nn_TransformerEncoder_train_mode_xpu_float64",
"test_multiple_device_transfer_nn_Transformer_xpu_float64",
"test_non_contiguous_tensors_nn_Bilinear_xpu_float64",
"test_non_contiguous_tensors_nn_GRUCell_xpu_float64",
"test_non_contiguous_tensors_nn_GRU_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_GRU_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_LSTMCell_xpu_float64",
"test_non_contiguous_tensors_nn_LSTM_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_LSTM_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_Linear_xpu_float64",
"test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_RNNCell_xpu_float64",
"test_non_contiguous_tensors_nn_RNN_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_RNN_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_TransformerDecoderLayer_xpu_float64",
"test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_xpu_float64",
"test_non_contiguous_tensors_nn_Transformer_xpu_float64",
"test_save_load_nn_Bilinear_xpu_float64",
"test_save_load_nn_GRUCell_xpu_float64",
"test_save_load_nn_GRU_eval_mode_xpu_float64",
"test_save_load_nn_GRU_train_mode_xpu_float64",
"test_save_load_nn_LSTMCell_xpu_float64",
"test_save_load_nn_LSTM_eval_mode_xpu_float64",
"test_save_load_nn_LSTM_train_mode_xpu_float64",
"test_save_load_nn_Linear_xpu_float64",
"test_save_load_nn_MultiheadAttention_eval_mode_xpu_float64",
"test_save_load_nn_MultiheadAttention_train_mode_xpu_float64",
"test_save_load_nn_RNNCell_xpu_float64",
"test_save_load_nn_RNN_eval_mode_xpu_float64",
"test_save_load_nn_RNN_train_mode_xpu_float64",
"test_save_load_nn_TransformerDecoderLayer_xpu_float64",
"test_save_load_nn_TransformerEncoderLayer_eval_mode_xpu_float64",
"test_save_load_nn_TransformerEncoderLayer_train_mode_xpu_float64",
"test_save_load_nn_TransformerEncoder_eval_mode_xpu_float64",
"test_save_load_nn_TransformerEncoder_train_mode_xpu_float64",
"test_save_load_nn_Transformer_xpu_float64",
# Unexpected success:
"test_cpu_gpu_parity_nn_ConvTranspose1d_xpu_complex32",
"test_cpu_gpu_parity_nn_ConvTranspose2d_xpu_complex32",
# CPU fallback fails
# RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
# AssertionError: False is not true
"test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Bilinear_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Conv1d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Conv2d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Conv3d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_ConvTranspose1d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_ConvTranspose2d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_ConvTranspose3d_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Embedding_swap_True_set_grad_True_xpu_float32",
"test_to_nn_GRUCell_swap_True_set_grad_True_xpu_float32",
"test_to_nn_GRU_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_GRU_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_GroupNorm_swap_True_set_grad_True_xpu_float32",
"test_to_nn_LSTMCell_swap_True_set_grad_True_xpu_float32",
"test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_LSTM_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_LayerNorm_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Linear_swap_True_set_grad_True_xpu_float32",
"test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_PReLU_swap_True_set_grad_True_xpu_float32",
"test_to_nn_RMSNorm_swap_True_set_grad_True_xpu_float32",
"test_to_nn_RNNCell_swap_True_set_grad_True_xpu_float32",
"test_to_nn_RNN_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_RNN_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_xpu_float32",
"test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_xpu_float32",
"test_to_nn_Transformer_swap_True_set_grad_True_xpu_float32",
# Unexpected succuss
"test_memory_format_nn_Conv2d_xpu_float64",
"test_memory_format_nn_ConvTranspose2d_xpu_float64",
"test_memory_format_nn_LazyConv2d_xpu_float64",
"test_memory_format_nn_LazyConvTranspose2d_xpu_float64",
),
"test_nn_xpu.py": (
# AttributeError: module 'torch.xpu' has no attribute 'FloatTensor'
"test_type",
# rnn fallback to cpu
"test_cudnn_weight_format",
# oneDNN issues
# AssertionError: MultiheadAttention does not support NestedTensor outside of its fast path. The fast path was not hit because some Tensor argument's device is neither one of cpu, cuda or privateuseone
"test_TransformerEncoderLayer_empty_xpu",
"test_transformerencoderlayer_xpu_float16",
"test_transformerencoderlayer_xpu_float32",
# oneDNN issues
# RuntimeError: Double and complex datatype matmul is not supported in oneDNN
"test_TransformerDecoderLayer_empty_xpu",
"test_TransformerDecoder_empty_xpu",
"test_TransformerEncoder_empty_xpu",
"test_Transformer_empty_xpu",
"test_affine_grid",
"test_affine_grid_3d",
"test_RNN_cpu_vs_cudnn_no_dropout",
"test_RNN_cpu_vs_cudnn_with_dropout",
"test_GRU_grad_and_gradgrad_xpu_float64",