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Update skip_list_common.py
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xytintel authored Nov 19, 2024
1 parent 000d343 commit 55f932c
Showing 1 changed file with 5 additions and 41 deletions.
46 changes: 5 additions & 41 deletions test/xpu/skip_list_common.py
Original file line number Diff line number Diff line change
Expand Up @@ -36,11 +36,6 @@
"test_out_requires_grad_error_sparse_sampled_addmm_xpu_complex64",
"test_out_requires_grad_error_sparse_sampled_addmm_xpu_float32",

# NotImplementedError: Could not run 'aten::_to_dense' with arguments from the 'SparseXPU' backend.
# https://github.com/intel/torch-xpu-ops/issues/357
"test_compare_cpu_to_sparse_xpu_float32",
"test_variant_consistency_eager_to_sparse_xpu_float32",

# RuntimeError: sparse_dim expected sparse or strided tensor layout but got Sparse
# Issue https://github.com/intel/torch-xpu-ops/issues/357
"test_variant_consistency_eager_to_sparse_xpu_complex64",
Expand Down Expand Up @@ -638,11 +633,6 @@
"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",
### Error #2 in TestMathBitsXPU , NotImplementedError: Could not run 'aten::_sparse_coo_tensor_with_dims_and_tensors' with arguments from the 'SparseXPU' backend.
# https://github.com/intel/torch-xpu-ops/issues/242 and https://github.com/intel/torch-xpu-ops/issues/240
"test_conj_view_to_sparse_xpu_complex64",
"test_neg_conj_view_to_sparse_xpu_complex128",
"test_neg_view_to_sparse_xpu_float64",
# Op impl aligns with CUDA on the supported dtypes.
# RuntimeError: "avg_pool2d_xpu" not implemented for 'Long'.
# Retrieve the case, once avg_pool1d is supported. Test infra will change claimed dtypes in test case once the op is listed
Expand Down Expand Up @@ -718,25 +708,11 @@
),

"test_scatter_gather_ops_xpu.py": (
# NotImplementedError: Could not run 'aten::_indices' with arguments from the 'SparseXPU' backend.
# https://github.com/intel/torch-xpu-ops/issues/484
"test_gather_backward_with_empty_index_tensor_sparse_grad_True_xpu_float32",
"test_gather_backward_with_empty_index_tensor_sparse_grad_True_xpu_float64",
"test_scatter_add__xpu_complex64",
"test_scatter_add__xpu_float16",
"test_scatter_add__xpu_float32",
"test_scatter_add_mult_index_base_xpu_float32",
"test_scatter_reduce_mean_xpu_bfloat16",
"test_scatter_reduce_mean_xpu_float16",
"test_scatter_reduce_mean_xpu_float32",
# 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_scatter_reduce_mean_xpu_int16",
"test_scatter_reduce_mean_xpu_int32",
"test_scatter_reduce_mean_xpu_int64",
"test_scatter_reduce_mean_xpu_int8",
"test_scatter_reduce_mean_xpu_uint8",
"test_gather_backward_deterministic_path_xpu",
"test_scatter_add_one_dim_deterministic_xpu",
),

"test_autograd_fallback_xpu.py": None,
Expand Down Expand Up @@ -3537,19 +3513,7 @@
"test_meta_outplace_unique_consecutive_xpu_bfloat16",
),

"test_type_promotion_xpu.py": (
# https://github.com/intel/torch-xpu-ops/issues/357
"test_sparse_add_xpu",
"test_sparse_div_promotion_xpu_bool",
"test_sparse_div_promotion_xpu_int16",
"test_sparse_div_promotion_xpu_int16",
"test_sparse_div_promotion_xpu_int32",
"test_sparse_div_promotion_xpu_int64",
"test_sparse_div_promotion_xpu_uint8",
"test_sparse_div_xpu",
"test_sparse_mul_xpu",
"test_sparse_sub_xpu",
),
"test_type_promotion_xpu.py": None,

"test_distributions_xpu.py": None,

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