ngraph leftovers in CPU shared single_layer and subgraph (#21499)
tests
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25e5818645
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11 files changed
+43
-44
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+2
-2
@@ -36,7 +36,7 @@ const auto binConv2DParams_ExplicitPadding = ::testing::Combine(
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::testing::ValuesIn(padsEnd),
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::testing::ValuesIn(dilations),
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(padValues));
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const auto binConv2DParams_ValidPadding = ::testing::Combine(
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@@ -46,7 +46,7 @@ const auto binConv2DParams_ValidPadding = ::testing::Combine(
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::testing::Values(std::vector<ptrdiff_t>({0, 0})),
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::testing::ValuesIn(dilations),
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::VALID),
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::testing::Values(ov::op::PadType::VALID),
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::testing::ValuesIn(padValues));
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INSTANTIATE_TEST_SUITE_P(
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+14
-14
@@ -37,18 +37,18 @@ std::vector<ov::element::Type> model_type = {
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ov::element::boolean,
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};
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std::vector<ngraph::helpers::ComparisonTypes> comparisonOpTypes = {
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ngraph::helpers::ComparisonTypes::EQUAL,
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ngraph::helpers::ComparisonTypes::NOT_EQUAL,
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ngraph::helpers::ComparisonTypes::GREATER,
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ngraph::helpers::ComparisonTypes::GREATER_EQUAL,
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ngraph::helpers::ComparisonTypes::LESS,
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ngraph::helpers::ComparisonTypes::LESS_EQUAL,
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std::vector<ov::test::utils::ComparisonTypes> comparisonOpTypes = {
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ov::test::utils::ComparisonTypes::EQUAL,
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ov::test::utils::ComparisonTypes::NOT_EQUAL,
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ov::test::utils::ComparisonTypes::GREATER,
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ov::test::utils::ComparisonTypes::GREATER_EQUAL,
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ov::test::utils::ComparisonTypes::LESS,
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ov::test::utils::ComparisonTypes::LESS_EQUAL,
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};
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std::vector<ngraph::helpers::InputLayerType> secondInputTypes = {
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ngraph::helpers::InputLayerType::CONSTANT,
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ngraph::helpers::InputLayerType::PARAMETER,
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std::vector<ov::test::utils::InputLayerType> secondInputTypes = {
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ov::test::utils::InputLayerType::CONSTANT,
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ov::test::utils::InputLayerType::PARAMETER,
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};
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std::map<std::string, std::string> additional_config = {};
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@@ -81,15 +81,15 @@ std::vector<std::vector<ov::Shape>> input_shapes_is_ops_static = {
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{{2, 17, 3, 4}, {1}}
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};
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std::vector<ngraph::helpers::ComparisonTypes> comparisonOpTypesIs = {
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ngraph::helpers::ComparisonTypes::IS_FINITE,
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ngraph::helpers::ComparisonTypes::IS_NAN
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std::vector<ov::test::utils::ComparisonTypes> comparisonOpTypesIs = {
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ov::test::utils::ComparisonTypes::IS_FINITE,
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ov::test::utils::ComparisonTypes::IS_NAN
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};
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const auto ComparisonTestParamsIs = ::testing::Combine(
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::testing::ValuesIn(ov::test::static_shapes_to_test_representation(input_shapes_is_ops_static)),
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::testing::ValuesIn(comparisonOpTypesIs),
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::testing::Values(ngraph::helpers::InputLayerType::CONSTANT),
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::testing::Values(ov::test::utils::InputLayerType::CONSTANT),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_CPU),
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::testing::Values(additional_config));
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+5
-5
@@ -64,13 +64,13 @@ const auto conv2DParams_ExplicitPadding = ::testing::Combine(
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::testing::ValuesIn(kernels), ::testing::ValuesIn(strides),
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::testing::ValuesIn(padBegins), ::testing::ValuesIn(padEnds),
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::testing::ValuesIn(dilations), ::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT));
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::testing::Values(ov::op::PadType::EXPLICIT));
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const auto conv2DParams_AutoPadValid = ::testing::Combine(
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::testing::ValuesIn(kernels), ::testing::ValuesIn(strides),
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::testing::Values(std::vector<ptrdiff_t>({0, 0})),
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::testing::Values(std::vector<ptrdiff_t>({0, 0})),
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::testing::ValuesIn(dilations), ::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::VALID));
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::testing::Values(ov::op::PadType::VALID));
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INSTANTIATE_TEST_SUITE_P(
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smoke_Convolution2D_ExplicitPadding, ConvolutionLayerTest,
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@@ -103,7 +103,7 @@ const auto conv2DParams_WeightLayout = ::testing::Combine(::testing::Values(kern
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::testing::Values(padEnds),
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::testing::Values(dilations),
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::testing::Values(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT));
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::testing::Values(ov::op::PadType::EXPLICIT));
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INSTANTIATE_TEST_SUITE_P(smoke_Convolution2D_SpecificWeightLayout, ConvolutionLayerTest,
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::testing::Combine(conv2DParams_WeightLayout,
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@@ -124,13 +124,13 @@ const auto conv3DParams_ExplicitPadding = ::testing::Combine(
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::testing::ValuesIn(kernels3d), ::testing::ValuesIn(strides3d),
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::testing::ValuesIn(paddings3d), ::testing::ValuesIn(paddings3d),
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::testing::ValuesIn(dilations3d), ::testing::ValuesIn(numOutChannels3D),
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::testing::Values(ngraph::op::PadType::EXPLICIT));
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::testing::Values(ov::op::PadType::EXPLICIT));
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const auto conv3DParams_AutoPadValid = ::testing::Combine(
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::testing::ValuesIn(kernels3d), ::testing::ValuesIn(strides3d),
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::testing::Values(std::vector<ptrdiff_t>({0, 0, 0})),
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::testing::Values(std::vector<ptrdiff_t>({0, 0, 0})),
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::testing::ValuesIn(dilations3d), ::testing::ValuesIn(numOutChannels3D),
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::testing::Values(ngraph::op::PadType::VALID));
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::testing::Values(ov::op::PadType::VALID));
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INSTANTIATE_TEST_SUITE_P(
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smoke_Convolution3D_ExplicitPadding, ConvolutionLayerTest,
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+5
-5
@@ -166,7 +166,7 @@ const auto deformableConv2DParams_SingleTestCase = ::testing::Combine(
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::testing::ValuesIn(groups),
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::testing::ValuesIn(single_deform_groups),
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(with_bilinear_interpolation_pad));
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INSTANTIATE_TEST_SUITE_P(
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@@ -215,7 +215,7 @@ INSTANTIATE_TEST_SUITE_P(
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::testing::ValuesIn(std::vector<size_t> {2}), // gr.
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::testing::ValuesIn(std::vector<size_t> {2}), // def. gr.
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(with_bilinear_interpolation_pad)),
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::testing::Values(false),
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::testing::ValuesIn(netPrecisions),
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@@ -234,7 +234,7 @@ INSTANTIATE_TEST_SUITE_P(
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::testing::ValuesIn(std::vector<size_t> {2}), // gr.
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::testing::ValuesIn(std::vector<size_t> {2}), // def. gr.
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(with_bilinear_interpolation_pad)),
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::testing::Values(true),
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::testing::ValuesIn(netPrecisions),
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@@ -266,7 +266,7 @@ INSTANTIATE_TEST_SUITE_P(
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::testing::ValuesIn(std::vector<size_t> {4}), // gr.
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::testing::ValuesIn(std::vector<size_t> {1}), // def. gr.
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(with_bilinear_interpolation_pad)),
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::testing::Values(false),
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::testing::ValuesIn(netPrecisions),
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@@ -285,7 +285,7 @@ INSTANTIATE_TEST_SUITE_P(
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::testing::ValuesIn(std::vector<size_t> {4}), // gr.
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::testing::ValuesIn(std::vector<size_t> {1}), // def. gr.
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::EXPLICIT),
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::testing::Values(ov::op::PadType::EXPLICIT),
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::testing::ValuesIn(with_bilinear_interpolation_pad)),
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::testing::Values(true),
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::testing::ValuesIn(netPrecisions),
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+3
-3
@@ -40,12 +40,12 @@ std::vector<std::vector<ov::Shape>> in_shapes_static_check_collapse = {
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};
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std::vector<std::vector<ov::test::InputShape>> in_shapes_dynamic = {
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{{{ngraph::Dimension(1, 10), 200}, {{2, 200}, {1, 200}}},
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{{ngraph::Dimension(1, 10), 200}, {{2, 200}, {5, 200}}}},
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{{{ov::Dimension(1, 10), 200}, {{2, 200}, {1, 200}}},
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{{ov::Dimension(1, 10), 200}, {{2, 200}, {5, 200}}}},
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};
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std::vector<std::vector<ov::test::InputShape>> in_shapes_dynamic_large_upper_bound = {
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{{{ngraph::Dimension(1, 1000000000000), 200}, {{2, 200}, {5, 200}}}},
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{{{ov::Dimension(1, 1000000000000), 200}, {{2, 200}, {5, 200}}}},
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};
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std::vector<ov::test::ElementType> model_types = {
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-1
@@ -3,7 +3,6 @@
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//
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#include <vector>
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#include <ngraph/op/util/attr_types.hpp>
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#include "single_op_tests/gru_sequence.hpp"
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#include "common_test_utils/test_constants.hpp"
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#include "common_test_utils/test_enums.hpp"
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+1
-1
@@ -28,7 +28,7 @@ std::vector<std::vector<ov::test::InputShape>> input_shapes_static = {
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};
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std::vector<std::vector<ov::test::InputShape>> input_shapes_dynamic = {
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{{{ngraph::Dimension(1, 10), 200}, {{2, 200}, {1, 200}}}}
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{{{ov::Dimension(1, 10), 200}, {{2, 200}, {1, 200}}}}
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};
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std::vector<ov::element::Type> model_types = {
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+4
-4
@@ -18,14 +18,14 @@ const std::vector<std::vector<ov::Shape>> inStaticShapeParams = {
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const std::vector<std::vector<ov::test::InputShape>> inDynamicShapeParams = {
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// num_batches, num_boxes, 4
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{{{ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic(), 4},
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{{{ov::Dimension::dynamic(), ov::Dimension::dynamic(), 4},
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{{1, 10, 4}, {2, 100, 4}}},
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// num_batches, num_classes, num_boxes
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{{ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic()},
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{{ov::Dimension::dynamic(), ov::Dimension::dynamic(), ov::Dimension::dynamic()},
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{{1, 3, 10}, {2, 5, 100}}}},
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{{{ngraph::Dimension(1, 10), ngraph::Dimension(1, 100), 4},
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{{{ov::Dimension(1, 10), ov::Dimension(1, 100), 4},
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{{1, 10, 4}, {2, 100, 4}}},
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{{{ngraph::Dimension(1, 10), ngraph::Dimension(1, 100), ngraph::Dimension(1, 100)}},
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{{{ov::Dimension(1, 10), ov::Dimension(1, 100), ov::Dimension(1, 100)}},
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{{1, 3, 10}, {2, 5, 100}}}}
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};
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+2
-2
@@ -12,7 +12,7 @@ using ov::test::Mvn1LayerTest;
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using ov::test::Mvn6LayerTest;
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const std::vector<bool> empty_across_channels = {{}};
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const std::vector<ngraph::AxisSet> empty_reduction_axes = {{}};
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const std::vector<ov::AxisSet> empty_reduction_axes = {{}};
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const std::vector<std::vector<ov::Shape>> input_shapes_static = {
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{{8}},
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@@ -69,7 +69,7 @@ const std::vector<std::vector<ov::Shape>> input_shapes_reduction_axes_static = {
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const auto MvnReductionAxes = ::testing::Combine(
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::testing::ValuesIn(ov::test::static_shapes_to_test_representation(input_shapes_reduction_axes_static)),
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::testing::Values(ov::element::f32),
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::testing::ValuesIn(std::vector<ngraph::AxisSet>{{1, 2, 3}, {2, 3}}),
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::testing::ValuesIn(std::vector<ov::AxisSet>{{1, 2, 3}, {2, 3}}),
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::testing::ValuesIn(empty_across_channels),
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::testing::ValuesIn(normalize_variance),
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::testing::ValuesIn(epsilon),
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+6
-6
@@ -22,10 +22,10 @@ const std::vector<ov::Shape> inputStaticShape2D = {
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};
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const std::vector<ov::test::InputShape> inputDynamicShape2D = {
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{{ngraph::Dimension::dynamic(), 10}, {{1, 10}, {2, 10}, {10, 10}}},
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{{ngraph::Dimension(1, 10), 10}, {{1, 10}, {2, 10}, {10, 10}}},
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{{10, ngraph::Dimension::dynamic()}, {{10, 1}, {10, 5}, {10, 10}}},
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{{ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic()}, {{1, 10}, {2, 10}, {10, 10}}}
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{{ov::Dimension::dynamic(), 10}, {{1, 10}, {2, 10}, {10, 10}}},
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{{ov::Dimension(1, 10), 10}, {{1, 10}, {2, 10}, {10, 10}}},
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{{10, ov::Dimension::dynamic()}, {{10, 1}, {10, 5}, {10, 10}}},
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{{ov::Dimension::dynamic(), ov::Dimension::dynamic()}, {{1, 10}, {2, 10}, {10, 10}}}
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};
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const std::vector<int64_t> axis2D = {
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@@ -73,8 +73,8 @@ const std::vector<ov::Shape> inputStaticShape4D = {
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};
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const std::vector<ov::test::InputShape> inputDynamicShape4D = {
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{{ngraph::Dimension::dynamic(), 100, ngraph::Dimension(1, 10), 1}, {{1, 100, 1, 1}, {100, 100, 5, 1}}},
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{{ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic(), ngraph::Dimension::dynamic()},
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{{ov::Dimension::dynamic(), 100, ov::Dimension(1, 10), 1}, {{1, 100, 1, 1}, {100, 100, 5, 1}}},
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{{ov::Dimension::dynamic(), ov::Dimension::dynamic(), ov::Dimension::dynamic(), ov::Dimension::dynamic()},
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{{1, 100, 1, 1}, {50, 100, 4, 1}, {2, 100, 10, 1}}},
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};
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+1
-1
@@ -34,7 +34,7 @@ const auto quantConvBackpropData2DParams = ::testing::Combine(
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::testing::ValuesIn(padEnds2D),
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::testing::ValuesIn(dilations2D),
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::testing::ValuesIn(numOutChannels),
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::testing::Values(ngraph::op::PadType::AUTO),
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::testing::Values(ov::op::PadType::AUTO),
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::testing::ValuesIn(levels),
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::testing::ValuesIn(granularity)
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);
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