From de3fd775fd2bda79daf8e56f783217cb2e894828 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tomasz=20Do=C5=82bniak?= Date: Fri, 28 May 2021 06:48:38 +0200 Subject: [PATCH] Obsolete tests removed (#5786) --- ngraph/python/tests/__init__.py | 2 -- ngraph/python/tests/test_ngraph/test_basic.py | 9 --------- 2 files changed, 11 deletions(-) diff --git a/ngraph/python/tests/__init__.py b/ngraph/python/tests/__init__.py index b84ec773584908..05970c8a0d3d88 100644 --- a/ngraph/python/tests/__init__.py +++ b/ngraph/python/tests/__init__.py @@ -51,8 +51,6 @@ def xfail_test(reason="Mark the test as expected to fail", strict=True): xfail_issue_35923 = xfail_test(reason="RuntimeError: PReLU without weights is not supported") xfail_issue_35925 = xfail_test(reason="Assertion error - reduction ops results mismatch") xfail_issue_35927 = xfail_test(reason="RuntimeError: B has zero dimension that is not allowable") -xfail_issue_36480 = xfail_test(reason="RuntimeError: [NOT_FOUND] Unsupported property dummy_option " - "by CPU plugin") xfail_issue_36486 = xfail_test(reason="RuntimeError: HardSigmoid operation should be converted " "to HardSigmoid_IE") xfail_issue_36487 = xfail_test(reason="Assertion error - mvn operator computation mismatch") diff --git a/ngraph/python/tests/test_ngraph/test_basic.py b/ngraph/python/tests/test_ngraph/test_basic.py index 9eda56b5599af2..210bcb99ae0921 100644 --- a/ngraph/python/tests/test_ngraph/test_basic.py +++ b/ngraph/python/tests/test_ngraph/test_basic.py @@ -14,7 +14,6 @@ from ngraph.impl.op import Parameter from tests.runtime import get_runtime from tests.test_ngraph.util import run_op_node -from tests import (xfail_issue_36480) def test_ngraph_function_api(): @@ -254,14 +253,6 @@ def test_constant_get_data_unsigned_integer(data_type): assert np.allclose(input_data, retrieved_data) -@xfail_issue_36480 -def test_backend_config(): - dummy_config = {"dummy_option": "dummy_value"} - # Expect no throw - runtime = get_runtime() - runtime.set_config(dummy_config) - - def test_result(): node = np.array([[11, 10], [1, 8], [3, 4]]) result = run_op_node([node], ng.result)