add a few tests (#20824)
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111ccd224c
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9367d296dc
@ -2,19 +2,18 @@
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <vector>
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#include "single_layer_tests/reduce_ops.hpp"
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#include "single_op_tests/reduce_ops.hpp"
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#include "common_test_utils/test_constants.hpp"
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using namespace LayerTestsDefinitions;
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namespace {
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const std::vector<InferenceEngine::Precision> netPrecisions = {
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InferenceEngine::Precision::FP32,
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InferenceEngine::Precision::I32,
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InferenceEngine::Precision::U8,
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InferenceEngine::Precision::I8,
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using ov::test::ReduceOpsLayerTest;
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using ov::test::ReduceOpsLayerWithSpecificInputTest;
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const std::vector<ov::element::Type> netPrecisions = {
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ov::element::f32,
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ov::element::i32,
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ov::element::u8,
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ov::element::i8,
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};
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const std::vector<bool> keepDims = {
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@ -58,19 +57,19 @@ std::vector<ov::test::utils::OpType> opTypes = {
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ov::test::utils::OpType::VECTOR,
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};
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const std::vector<ngraph::helpers::ReductionType> reductionTypes = {
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ngraph::helpers::ReductionType::Mean,
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ngraph::helpers::ReductionType::Min,
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ngraph::helpers::ReductionType::Max,
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ngraph::helpers::ReductionType::Sum,
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ngraph::helpers::ReductionType::Prod,
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ngraph::helpers::ReductionType::L1,
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ngraph::helpers::ReductionType::L2,
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const std::vector<ov::test::utils::ReductionType> reductionTypes = {
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ov::test::utils::ReductionType::Mean,
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ov::test::utils::ReductionType::Min,
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ov::test::utils::ReductionType::Max,
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ov::test::utils::ReductionType::Sum,
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ov::test::utils::ReductionType::Prod,
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ov::test::utils::ReductionType::L1,
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ov::test::utils::ReductionType::L2,
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};
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const std::vector<ngraph::helpers::ReductionType> reductionLogicalTypes = {
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ngraph::helpers::ReductionType::LogicalOr,
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ngraph::helpers::ReductionType::LogicalAnd
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const std::vector<ov::test::utils::ReductionType> reductionLogicalTypes = {
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ov::test::utils::ReductionType::LogicalOr,
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ov::test::utils::ReductionType::LogicalAnd
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};
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INSTANTIATE_TEST_SUITE_P(smoke_ReduceOneAxis,
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@ -79,10 +78,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_ReduceOneAxis,
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testing::ValuesIn(opTypes),
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testing::Values(true, false),
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testing::ValuesIn(reductionTypes),
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testing::Values(InferenceEngine::Precision::FP32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::element::f32),
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testing::ValuesIn(inputShapesOneAxis),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -93,10 +89,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_ReduceLogicalOneAxis,
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testing::ValuesIn(opTypes),
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testing::Values(true, false),
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testing::ValuesIn(reductionLogicalTypes),
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testing::Values(InferenceEngine::Precision::BOOL),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::element::boolean),
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testing::ValuesIn(inputShapes),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -106,12 +99,9 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce_Precisions,
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testing::Combine(testing::Values(std::vector<int>{1, 3}),
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::Values(ngraph::helpers::ReductionType::Sum),
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testing::Values(InferenceEngine::Precision::FP32,
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InferenceEngine::Precision::I32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::test::utils::ReductionType::Sum),
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testing::Values(ov::element::f32,
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ov::element::i32),
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testing::Values(std::vector<size_t>{2, 2, 2, 2}),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -122,12 +112,9 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce_Ranks,
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std::vector<int>{-1, -2}),
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::Values(ngraph::helpers::ReductionType::Sum),
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testing::Values(InferenceEngine::Precision::FP32,
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InferenceEngine::Precision::I32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::test::utils::ReductionType::Sum),
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testing::Values(ov::element::f32,
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ov::element::i32),
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testing::Values(std::vector<size_t>{2, 3, 4, 5, 4, 3, 2, 3},
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std::vector<size_t>{2, 3, 4, 5, 4, 3, 2}),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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@ -138,11 +125,8 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce_InputShapes,
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testing::Combine(testing::Values(std::vector<int>{0}),
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::Values(ngraph::helpers::ReductionType::Mean),
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testing::Values(InferenceEngine::Precision::FP32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::test::utils::ReductionType::Mean),
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testing::Values(ov::element::f32),
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testing::Values(std::vector<size_t>{3},
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std::vector<size_t>{3, 5},
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std::vector<size_t>{2, 4, 6},
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@ -157,11 +141,8 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce_Axes,
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testing::Combine(testing::ValuesIn(axes),
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::Values(ngraph::helpers::ReductionType::Mean),
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testing::Values(InferenceEngine::Precision::FP32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::test::utils::ReductionType::Mean),
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testing::Values(ov::element::f32),
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testing::ValuesIn(inputShapes),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -172,10 +153,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce_ReductionTypes,
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::ValuesIn(reductionTypes),
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testing::Values(InferenceEngine::Precision::FP32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::element::f32),
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testing::Values(std::vector<size_t>{2, 9, 2, 9}),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -186,10 +164,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_ReduceLogical_ReductionTypes,
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testing::Values(opTypes[1]),
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testing::ValuesIn(keepDims),
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testing::ValuesIn(reductionLogicalTypes),
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testing::Values(InferenceEngine::Precision::BOOL),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::element::boolean),
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testing::Values(std::vector<size_t>{2, 9, 2, 9}),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerTest::getTestCaseName);
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@ -199,12 +174,9 @@ INSTANTIATE_TEST_SUITE_P(smoke_Reduce,
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testing::Combine(testing::ValuesIn(decltype(axes){{0}, {1}}),
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testing::Values(opTypes[1]),
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testing::Values(true),
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testing::Values(ngraph::helpers::ReductionType::Sum),
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testing::Values(InferenceEngine::Precision::FP32,
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InferenceEngine::Precision::I32),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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testing::Values(InferenceEngine::Layout::ANY),
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testing::Values(ov::test::utils::ReductionType::Sum),
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testing::Values(ov::element::f32,
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ov::element::i32),
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testing::Values(std::vector<size_t>{2, 10}),
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testing::Values(ov::test::utils::DEVICE_GPU)),
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ReduceOpsLayerWithSpecificInputTest::getTestCaseName);
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@ -2,18 +2,16 @@
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <vector>
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#include "single_layer_tests/region_yolo.hpp"
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#include "single_op_tests/region_yolo.hpp"
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#include "common_test_utils/test_constants.hpp"
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using namespace LayerTestsDefinitions;
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using ov::test::RegionYoloLayerTest;
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const std::vector<ngraph::Shape> inShapes_caffe = {
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const std::vector<std::vector<size_t>> inShapes_caffe = {
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{1, 125, 13, 13}
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};
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const std::vector<ngraph::Shape> inShapes_mxnet = {
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const std::vector<std::vector<size_t>> inShapes_mxnet = {
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{1, 75, 52, 52},
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{1, 75, 32, 32},
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{1, 75, 26, 26},
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@ -22,7 +20,7 @@ const std::vector<ngraph::Shape> inShapes_mxnet = {
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{1, 75, 8, 8}
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};
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const std::vector<ngraph::Shape> inShapes_v3 = {
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const std::vector<std::vector<size_t>> inShapes_v3 = {
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{1, 255, 52, 52},
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{1, 255, 26, 26},
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{1, 255, 13, 13}
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@ -51,7 +49,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_TestsRegionYolov3,
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::testing::Values(masks[2]),
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::testing::Values(start_axis),
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::testing::Values(end_axis),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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RegionYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsRegionYoloMxnet,
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@ -64,7 +62,7 @@ INSTANTIATE_TEST_SUITE_P(smoke_TestsRegionYoloMxnet,
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::testing::Values(masks[1]),
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::testing::Values(start_axis),
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::testing::Values(end_axis),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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RegionYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsRegionYoloCaffe,
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@ -77,6 +75,6 @@ INSTANTIATE_TEST_SUITE_P(smoke_TestsRegionYoloCaffe,
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::testing::Values(masks[0]),
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::testing::Values(start_axis),
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::testing::Values(end_axis),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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RegionYoloLayerTest::getTestCaseName);
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@ -2,18 +2,16 @@
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <vector>
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#include "single_layer_tests/reorg_yolo.hpp"
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#include "single_op_tests/reorg_yolo.hpp"
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#include "common_test_utils/test_constants.hpp"
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using namespace LayerTestsDefinitions;
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using ov::test::ReorgYoloLayerTest;
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const std::vector<ngraph::Shape> inShapes_caffe_yolov2 = {
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const std::vector<std::vector<size_t>> inShapes_caffe_yolov2 = {
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{1, 64, 26, 26},
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};
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const std::vector<ngraph::Shape> inShapes = {
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const std::vector<std::vector<size_t>> inShapes = {
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{1, 4, 4, 4},
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{1, 8, 4, 4},
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{1, 9, 3, 3},
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@ -29,41 +27,41 @@ INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_caffe_YoloV2,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::ValuesIn(inShapes_caffe_yolov2),
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::testing::Values(strides[0]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_stride_2_smallest,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::Values(inShapes[0]),
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::testing::Values(strides[0]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_stride_2,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::Values(inShapes[1]),
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::testing::Values(strides[0]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_stride_3,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::Values(inShapes[2]),
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::testing::Values(strides[1]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_smaller_h,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::Values(inShapes[4]),
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::testing::Values(strides[0]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_TestsReorgYolo_batch_2,
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ReorgYoloLayerTest,
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::testing::Combine(::testing::Values(inShapes[3]),
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::testing::Values(strides[0]),
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::testing::Values(InferenceEngine::Precision::FP32),
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::testing::Values(ov::element::f32),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReorgYoloLayerTest::getTestCaseName);
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <vector>
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#include "single_layer_tests/reshape.hpp"
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#include "single_op_tests/reshape.hpp"
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#include "common_test_utils/test_constants.hpp"
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using namespace LayerTestsDefinitions;
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namespace {
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const std::vector<InferenceEngine::Precision> netPrecisions = {
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InferenceEngine::Precision::FP32,
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InferenceEngine::Precision::FP16,
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InferenceEngine::Precision::I64
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using ov::test::ReshapeLayerTest;
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using ov::test::reshapeParams;
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const std::vector<ov::element::Type> netPrecisions = {
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ov::element::f32,
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ov::element::f16,
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ov::element::i64
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};
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INSTANTIATE_TEST_SUITE_P(smoke_ReshapeCheck, ReshapeLayerTest,
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::testing::Combine(
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::testing::Values(true),
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::testing::ValuesIn(netPrecisions),
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::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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::testing::Values(InferenceEngine::Layout::ANY),
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::testing::Values(InferenceEngine::Layout::ANY),
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::testing::Values(std::vector<size_t>({10, 10, 10, 10})),
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::testing::Values(std::vector<int64_t>({10, 0, 100})),
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::testing::Values(ov::test::utils::DEVICE_GPU),
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::testing::Values(std::map<std::string, std::string>({}))),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReshapeLayerTest::getTestCaseName);
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INSTANTIATE_TEST_SUITE_P(smoke_ReshapeCheckNegative, ReshapeLayerTest,
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::testing::Combine(
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::testing::Values(true),
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::testing::ValuesIn(netPrecisions),
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::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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::testing::Values(InferenceEngine::Precision::UNSPECIFIED),
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::testing::Values(InferenceEngine::Layout::ANY),
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::testing::Values(InferenceEngine::Layout::ANY),
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::testing::Values(std::vector<size_t>({10, 10, 10, 10})),
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::testing::Values(std::vector<int64_t>({10, -1, 100})),
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::testing::Values(ov::test::utils::DEVICE_GPU),
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::testing::Values(std::map<std::string, std::string>({}))),
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::testing::Values(ov::test::utils::DEVICE_GPU)),
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ReshapeLayerTest::getTestCaseName);
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static std::vector<reshapeParams> generate_tests() {
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@ -62,11 +52,8 @@ static std::vector<reshapeParams> generate_tests() {
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{{2, 2, 3, 1, 3, 2, 4, 2}, {2, 2, 3, 1, 6, 8}},
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};
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for (auto& p : params) {
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reshapeParams test_case = std::make_tuple(false, InferenceEngine::Precision::FP16,
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InferenceEngine::Precision::UNSPECIFIED, InferenceEngine::Precision::UNSPECIFIED,
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InferenceEngine::Layout::ANY, InferenceEngine::Layout::ANY,
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p.first, p.second,
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ov::test::utils::DEVICE_GPU, std::map<std::string, std::string>({}));
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reshapeParams test_case = std::make_tuple(false, ov::element::f16,
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||||
p.first, p.second, ov::test::utils::DEVICE_GPU);
|
||||
res.push_back(test_case);
|
||||
}
|
||||
|
||||
|
@ -2,22 +2,19 @@
|
||||
// SPDX-License-Identifier: Apache-2.0
|
||||
//
|
||||
|
||||
#include <vector>
|
||||
|
||||
#include "single_layer_tests/reverse_sequence.hpp"
|
||||
#include "single_op_tests/reverse_sequence.hpp"
|
||||
#include "common_test_utils/test_constants.hpp"
|
||||
|
||||
using namespace LayerTestsDefinitions;
|
||||
|
||||
namespace {
|
||||
using ov::test::ReverseSequenceLayerTest;
|
||||
|
||||
const std::vector<InferenceEngine::Precision> netPrecisions = {
|
||||
InferenceEngine::Precision::FP32,
|
||||
InferenceEngine::Precision::FP16,
|
||||
InferenceEngine::Precision::U8,
|
||||
InferenceEngine::Precision::I8,
|
||||
InferenceEngine::Precision::U16,
|
||||
InferenceEngine::Precision::I32
|
||||
const std::vector<ov::element::Type> netPrecisions = {
|
||||
ov::element::f32,
|
||||
ov::element::f16,
|
||||
ov::element::u8,
|
||||
ov::element::i8,
|
||||
ov::element::u16,
|
||||
ov::element::i32
|
||||
};
|
||||
|
||||
const std::vector<int64_t> batchAxisIndices = { 0L };
|
||||
@ -28,9 +25,9 @@ const std::vector<std::vector<size_t>> inputShapes = { {3, 10} }; //, 10, 20
|
||||
|
||||
const std::vector<std::vector<size_t>> reversSeqLengthsVecShapes = { {3} };
|
||||
|
||||
const std::vector<ngraph::helpers::InputLayerType> secondaryInputTypes = {
|
||||
ngraph::helpers::InputLayerType::CONSTANT,
|
||||
ngraph::helpers::InputLayerType::PARAMETER
|
||||
const std::vector<ov::test::utils::InputLayerType> secondaryInputTypes = {
|
||||
ov::test::utils::InputLayerType::CONSTANT,
|
||||
ov::test::utils::InputLayerType::PARAMETER
|
||||
};
|
||||
|
||||
INSTANTIATE_TEST_SUITE_P(Basic_smoke, ReverseSequenceLayerTest,
|
||||
|
Loading…
Reference in New Issue
Block a user