--- /dev/null
+// Copyright (C) 2019 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include <vector>
+
+#include "single_layer_tests/reverse_sequence.hpp"
+#include "common_test_utils/test_constants.hpp"
+
+using namespace LayerTestsDefinitions;
+
+namespace {
+
+const std::vector<InferenceEngine::Precision> netPrecisions = {
+ InferenceEngine::Precision::FP32,
+ InferenceEngine::Precision::FP16,
+ InferenceEngine::Precision::U8, //doesn't match the reference values
+ InferenceEngine::Precision::I8, //doesn't match the reference values
+ InferenceEngine::Precision::U16,
+ InferenceEngine::Precision::I32
+};
+
+const std::vector<int64_t> batchAxisIndices = { 0L };
+
+const std::vector<int64_t> seqAxisIndices = { 1L };
+
+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
+};
+
+INSTANTIATE_TEST_CASE_P(Basic_smoke, ReverseSequenceLayerTest,
+ ::testing::Combine(
+ ::testing::ValuesIn(batchAxisIndices),
+ ::testing::ValuesIn(seqAxisIndices),
+ ::testing::ValuesIn(inputShapes),
+ ::testing::ValuesIn(reversSeqLengthsVecShapes),
+ ::testing::ValuesIn(secondaryInputTypes),
+ ::testing::ValuesIn(netPrecisions),
+ ::testing::Values(CommonTestUtils::DEVICE_CPU)),
+ ReverseSequenceLayerTest::getTestCaseName);
+
+} // namespace
// TODO: Issue: 32032
R"(.*ActivationParamLayerTest.*)",
// TODO: Issue: 30999 (Implement Interpolate reference in NGraph)
- R"(.*InterpolateLayerTest.*)"
+ R"(.*InterpolateLayerTest.*)",
+ // TODO: Issue: 37862
+ R"(.*ReverseSequenceLayerTest.*netPRC=(I8|U8).*)"
};
}
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--- /dev/null
+// Copyright (C) 2019 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include <tuple>
+#include <string>
+#include <vector>
+#include <memory>
+
+#include "functional_test_utils/layer_test_utils.hpp"
+#include "ngraph_functions/builders.hpp"
+#include "ngraph_functions/utils/ngraph_helpers.hpp"
+
+namespace LayerTestsDefinitions {
+
+using ReverseSequenceParamsTuple = typename std::tuple<
+ int64_t, // Index of the batch dimension
+ int64_t, // Index of the sequence dimension
+ std::vector<size_t>, // Input shapes
+ std::vector<size_t>, // Shape of the input vector with sequence lengths to be reversed
+ ngraph::helpers::InputLayerType, // Secondary input type
+ InferenceEngine::Precision, // Network precision
+ std::string>; // Device name
+
+class ReverseSequenceLayerTest : public testing::WithParamInterface<ReverseSequenceParamsTuple>,
+ virtual public LayerTestsUtils::LayerTestsCommon {
+public:
+ static std::string getTestCaseName(const testing::TestParamInfo<ReverseSequenceParamsTuple> &obj);
+
+protected:
+ void SetUp() override;
+};
+
+} // namespace LayerTestsDefinitions
\ No newline at end of file
--- /dev/null
+// Copyright (C) 2019 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include <tuple>
+#include <string>
+#include <vector>
+#include <memory>
+
+#include "common_test_utils/common_utils.hpp"
+#include "functional_test_utils/precision_utils.hpp"
+#include "functional_test_utils/skip_tests_config.hpp"
+
+#include "single_layer_tests/reverse_sequence.hpp"
+
+namespace LayerTestsDefinitions {
+std::string ReverseSequenceLayerTest::getTestCaseName(const testing::TestParamInfo<ReverseSequenceParamsTuple> &obj) {
+ int64_t batchAxisIndx;
+ int64_t seqAxisIndx;
+ InferenceEngine::Precision netPrecision;
+ std::string targetName;
+ std::vector<size_t> inputShape;
+ std::vector<size_t> secondInputShape;
+ ngraph::helpers::InputLayerType secondaryInputType;
+
+ std::tie(batchAxisIndx, seqAxisIndx, inputShape, secondInputShape, secondaryInputType, netPrecision, targetName) = obj.param;
+
+ std::ostringstream result;
+ result << "IS=" << CommonTestUtils::vec2str(inputShape) << "_";
+ result << "seqLengthsShape" << CommonTestUtils::vec2str(secondInputShape) << "_";
+ result << "secondaryInputType=" << secondaryInputType << "_";
+ result << "batchAxis=" << batchAxisIndx << "_";
+ result << "seqAxis=" << seqAxisIndx << "_";
+ result << "netPRC=" << netPrecision.name() << "_";
+ result << "targetDevice=" << targetName;
+ return result.str();
+}
+
+void ReverseSequenceLayerTest::SetUp() {
+ InferenceEngine::Precision netPrecision;
+ int64_t batchAxisIndx;
+ int64_t seqAxisIndx;
+ std::vector<size_t> inputShape;
+ std::vector<size_t> secondInputShape;
+ ngraph::helpers::InputLayerType secondaryInputType;
+
+ std::tie(batchAxisIndx, seqAxisIndx, inputShape, secondInputShape, secondaryInputType, netPrecision, targetDevice) = GetParam();
+
+ auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
+ auto paramsIn = ngraph::builder::makeParams(ngPrc, {inputShape});
+
+ auto secondPrc = ngraph::element::Type_t::i32; //according to the specification
+ auto secondaryInput = ngraph::builder::makeInputLayer(secondPrc, secondaryInputType, secondInputShape);
+ if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
+ paramsIn.push_back(std::dynamic_pointer_cast<ngraph::opset3::Parameter>(secondaryInput));
+ }
+
+ auto reverse = std::make_shared<ngraph::opset1::ReverseSequence>(paramsIn[0], secondaryInput, batchAxisIndx, seqAxisIndx);
+ ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(reverse)};
+ function = std::make_shared<ngraph::Function>(results, paramsIn, "ReverseSequence");
+}
+
+TEST_P(ReverseSequenceLayerTest, CompareWithRefs) {
+ Run();
+};
+
+} // namespace LayerTestsDefinitions
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