* update docs * add host tensors validation * create type_prop tests * create serialization single layer test * create visitor test * create op_reference test * add logicalAnd to constants.py * create additional op_reference tests * add check for number of visited attributes in visitor test * update auto_broadcast description * remoove backend test * update LogicalNot params name * remove backend test from CMakeList * create util function for type_prop tests * update op_reference tests * remove typo in docs * remove unsupported types from evaluate * fix bug in op_reference test * refactor visitor test * update math formula in the spec * update has_evaluate types
84 lines
3.7 KiB
C++
84 lines
3.7 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <gtest/gtest.h>
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#include <ie_core.hpp>
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#include <ie_ngraph_utils.hpp>
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#include <ngraph/ngraph.hpp>
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#include <shared_test_classes/base/layer_test_utils.hpp>
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#include <tuple>
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#include "base_reference_test.hpp"
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using namespace reference_tests;
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using namespace ngraph;
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using namespace InferenceEngine;
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struct LogicalAndParams {
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template <class IT, class OT>
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LogicalAndParams(const ngraph::PartialShape& input_shape1, const ngraph::PartialShape& input_shape2 ,
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const std::vector<IT>& iValues1, const std::vector<IT>& iValues2, const std::vector<OT>& oValues)
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: pshape1(input_shape1), pshape2(input_shape2), inType(ngraph::element::boolean), outType(ngraph::element::boolean),
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inputData1(CreateBlob(ngraph::element::boolean, iValues1)), inputData2(CreateBlob(ngraph::element::boolean, iValues2)),
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refData(CreateBlob(ngraph::element::boolean, oValues)) {}
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ngraph::PartialShape pshape1;
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ngraph::PartialShape pshape2;
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ngraph::element::Type inType;
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ngraph::element::Type outType;
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InferenceEngine::Blob::Ptr inputData1;
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InferenceEngine::Blob::Ptr inputData2;
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InferenceEngine::Blob::Ptr refData;
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};
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class ReferenceLogicalAndLayerTest : public testing::TestWithParam<LogicalAndParams>, public CommonReferenceTest {
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public:
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void SetUp() override {
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auto params = GetParam();
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function = CreateFunction(params.pshape1, params.pshape2, params.inType);
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inputData = {params.inputData1, params.inputData2};
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refOutData = {params.refData};
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}
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static std::string getTestCaseName(const testing::TestParamInfo<LogicalAndParams>& obj) {
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auto param = obj.param;
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std::ostringstream result;
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result << "input_shape1=" << param.pshape1 << "_";
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result << "input_shape2=" << param.pshape2 << "_";
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result << "iType=" << param.inType << "_";
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result << "oType=" << param.outType;
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return result.str();
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}
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private:
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static std::shared_ptr<Function> CreateFunction(const PartialShape& input_shape1,
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const PartialShape& input_shape2, const element::Type& input_type) {
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const auto in = std::make_shared<op::Parameter>(input_type, input_shape1);
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const auto in2 = std::make_shared<op::Parameter>(input_type, input_shape2);
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const auto logical_and = std::make_shared<op::v1::LogicalAnd>(in, in2);
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return std::make_shared<Function>(NodeVector {logical_and}, ParameterVector {in, in2});
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}
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};
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TEST_P(ReferenceLogicalAndLayerTest, CompareWithHardcodedRefs) {
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Exec();
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}
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INSTANTIATE_TEST_SUITE_P(
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smoke_LogicalAnd_With_Hardcoded_Refs, ReferenceLogicalAndLayerTest,
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::testing::Values(
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LogicalAndParams(ngraph::PartialShape {2, 2}, ngraph::PartialShape {2, 2},
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std::vector<char> {true, false, true, false},
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std::vector<char> {false, true, true, false},
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std::vector<char> {false, false, true, false}),
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LogicalAndParams(ngraph::PartialShape {2, 1, 2, 1}, ngraph::PartialShape {1, 1, 2, 1},
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std::vector<char> {true, false, true, false},
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std::vector<char> {true, false},
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std::vector<char> {true, false, true, false}),
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LogicalAndParams(ngraph::PartialShape {3, 4}, ngraph::PartialShape {3, 4},
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std::vector<char> {true, true, true, true, true, false, true, false, false, true, true, true},
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std::vector<char> {true, true, true, true, true, false, true, false, false, true, true, false},
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std::vector<char> {true, true, true, true, true, false, true, false, false, true, true, false})),
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ReferenceLogicalAndLayerTest::getTestCaseName);
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