Temporary disable sporadically failed test (PR #7601) (#7782)

* Temporary disable sporadically failed test

* Looks like skip test config didn't skip the test
This commit is contained in:
Mikhail Nosov 2021-10-01 10:25:08 +03:00 committed by GitHub
parent 61c97edd40
commit a883b5c097
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2 changed files with 31 additions and 28 deletions

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@ -89,34 +89,35 @@ TEST_F(ReferenceConvertColorNV12LayerTest, CompareWithHardcodedRefs_g_fp32_singl
Exec(); Exec();
} }
TEST_F(ReferenceConvertColorNV12LayerTest, CompareWithHardcodedRefs_batch_fp32_two_bgr) { // Issue 62174
threshold = 2.f; //TEST_F(ReferenceConvertColorNV12LayerTest, CompareWithHardcodedRefs_batch_fp32_two_bgr) {
auto input_y = std::vector<float> {81.f, 81.f, 81.f, 81.f, // threshold = 2.f;
145.f, 145.f, 145.f, 145.f, // auto input_y = std::vector<float> {81.f, 81.f, 81.f, 81.f,
41.f, 41.f, 41.f, 41.f}; // 145.f, 145.f, 145.f, 145.f,
auto input_shape_y = Shape{3, 2, 2, 1}; // 41.f, 41.f, 41.f, 41.f};
// auto input_shape_y = Shape{3, 2, 2, 1};
auto input_uv = std::vector<float> {240., 90., //
34., 54., // auto input_uv = std::vector<float> {240., 90.,
110., 240.}; // 34., 54.,
auto input_shape_uv = Shape{3, 1, 1, 2}; // 110., 240.};
// auto input_shape_uv = Shape{3, 1, 1, 2};
auto exp_out = std::vector<float> {0, 0, 255., 0, 0, 255., 0, 0, 255., 0, 0, 255., //
0, 255., 0, 0, 255., 0, 0, 255., 0, 0, 255., 0, // auto exp_out = std::vector<float> {0, 0, 255., 0, 0, 255., 0, 0, 255., 0, 0, 255.,
255., 0, 0, 255., 0, 0, 255., 0, 0, 255., 0, 0}; // 0, 255., 0, 0, 255., 0, 0, 255., 0, 0, 255., 0,
auto out_shape = Shape{3, 2, 2, 3}; // 255., 0, 0, 255., 0, 0, 255., 0, 0, 255., 0, 0};
// auto out_shape = Shape{3, 2, 2, 3};
Tensor inp_tensor_y(input_shape_y, element::f32, input_y); //
Tensor inp_tensor_uv(input_shape_uv, element::f32, input_uv); // Tensor inp_tensor_y(input_shape_y, element::f32, input_y);
inputData = {inp_tensor_y.data, inp_tensor_uv.data}; // Tensor inp_tensor_uv(input_shape_uv, element::f32, input_uv);
// inputData = {inp_tensor_y.data, inp_tensor_uv.data};
Tensor exp_tensor(out_shape, element::f32, exp_out); //
refOutData = {exp_tensor.data}; // Tensor exp_tensor(out_shape, element::f32, exp_out);
// refOutData = {exp_tensor.data};
function = CreateFunction2<op::v8::NV12toBGR>(inp_tensor_y, inp_tensor_uv); //
// function = CreateFunction2<op::v8::NV12toBGR>(inp_tensor_y, inp_tensor_uv);
Exec(); //
} // Exec();
//}
TEST_F(ReferenceConvertColorNV12LayerTest, CompareWithHardcodedRefs_color2x2_f32_two_rgb) { TEST_F(ReferenceConvertColorNV12LayerTest, CompareWithHardcodedRefs_color2x2_f32_two_rgb) {
threshold = 2.f; threshold = 2.f;

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@ -21,5 +21,7 @@ std::vector<std::string> disabledTestPatterns() {
R"(.*InferRequestPreprocessDynamicallyInSetBlobTest.*oPRC=0.*oLT=1.*)", R"(.*InferRequestPreprocessDynamicallyInSetBlobTest.*oPRC=0.*oLT=1.*)",
// CVS-58963: Not implemented yet // CVS-58963: Not implemented yet
R"(.*Behavior.*InferRequest.*OutOfFirstOutIsInputForSecondNetwork.*)", R"(.*Behavior.*InferRequest.*OutOfFirstOutIsInputForSecondNetwork.*)",
// Issue 62174
R"(.*CompareWithHardcodedRefs_batch_fp32_two_bgr.*)",
}; };
} }