From fa041ca75dfa456ecb71e72115ad257beb3896c7 Mon Sep 17 00:00:00 2001 From: MATEUSZ MIKOLAJCZYK Date: Wed, 8 Jan 2025 11:11:18 +0000 Subject: [PATCH] Remove xfail for onnx einsum test Signed-off-by: MATEUSZ MIKOLAJCZYK --- src/frontends/onnx/tests/__init__.py | 1 - src/frontends/onnx/tests/tests_python/test_backend.py | 2 -- 2 files changed, 3 deletions(-) diff --git a/src/frontends/onnx/tests/__init__.py b/src/frontends/onnx/tests/__init__.py index fdf1295dfd1dbe..bd5477dbcf8a13 100644 --- a/src/frontends/onnx/tests/__init__.py +++ b/src/frontends/onnx/tests/__init__.py @@ -120,7 +120,6 @@ def xfail_test(reason="Mark the test as expected to fail", strict=True): xfail_issue_49754 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v1::TopKIE") xfail_issue_52463 = xfail_test(reason="test_operator_add_size1_singleton_broadcast_cpu - " "Not equal to tolerance") -xfail_issue_58033 = xfail_test(reason="Einsum operation misses support for complex ellipsis equations") xfail_issue_58676 = xfail_test(reason="AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07") skip_issue_58676 = pytest.mark.skip(reason="AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07") xfail_issue_onnx_models_140 = xfail_test(reason="https://github.com/onnx/models/issues/140") diff --git a/src/frontends/onnx/tests/tests_python/test_backend.py b/src/frontends/onnx/tests/tests_python/test_backend.py index 39b9788d720af3..487454675ac50e 100644 --- a/src/frontends/onnx/tests/tests_python/test_backend.py +++ b/src/frontends/onnx/tests/tests_python/test_backend.py @@ -32,7 +32,6 @@ xfail_issue_73538, xfail_issue_48052, xfail_issue_52463, - xfail_issue_58033, xfail_issue_63033, xfail_issue_63036, xfail_issue_63043, @@ -292,7 +291,6 @@ def expect_fail(test_case_path, xfail): # type: (str) -> None "OnnxBackendNodeModelTest.test_sequence_insert_at_back_cpu", "OnnxBackendNodeModelTest.test_sequence_insert_at_front_cpu", ), - (xfail_issue_58033, "OnnxBackendNodeModelTest.test_einsum_batch_diagonal_cpu"), ( xfail_issue_63033, "OnnxBackendNodeModelTest.test_batchnorm_epsilon_training_mode_cpu",