// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include "shared_test_classes/single_layer/group_convolution.hpp"

namespace LayerTestsDefinitions {

std::string GroupConvolutionLayerTest::getTestCaseName(const testing::TestParamInfo<groupConvLayerTestParamsSet>& obj) {
    groupConvSpecificParams groupConvParams;
    InferenceEngine::Precision netPrecision;
    InferenceEngine::Precision inPrc, outPrc;
    InferenceEngine::Layout inLayout, outLayout;
    InferenceEngine::SizeVector inputShapes;
    std::string targetDevice;
    std::tie(groupConvParams, netPrecision, inPrc, outPrc, inLayout, outLayout, inputShapes, targetDevice) = obj.param;
    ngraph::op::PadType padType;
    InferenceEngine::SizeVector kernel, stride, dilation;
    std::vector<ptrdiff_t> padBegin, padEnd;
    size_t convOutChannels, numGroups;
    std::tie(kernel, stride, padBegin, padEnd, dilation, convOutChannels, numGroups, padType) = groupConvParams;

    std::ostringstream result;
    result << "IS=" << CommonTestUtils::vec2str(inputShapes) << "_";
    result << "K" << CommonTestUtils::vec2str(kernel) << "_";
    result << "S" << CommonTestUtils::vec2str(stride) << "_";
    result << "PB" << CommonTestUtils::vec2str(padBegin) << "_";
    result << "PE" << CommonTestUtils::vec2str(padEnd) << "_";
    result << "D=" << CommonTestUtils::vec2str(dilation) << "_";
    result << "O=" << convOutChannels << "_";
    result << "G=" << numGroups << "_";
    result << "AP=" << padType << "_";
    result << "netPRC=" << netPrecision.name() << "_";
    result << "inPRC=" << inPrc.name() << "_";
    result << "outPRC=" << outPrc.name() << "_";
    result << "inL=" << inLayout << "_";
    result << "outL=" << outLayout << "_";
    result << "trgDev=" << targetDevice;
    return result.str();
}

void GroupConvolutionLayerTest::SetUp() {
    groupConvSpecificParams groupConvParams;
    std::vector<size_t> inputShape;
    auto netPrecision   = InferenceEngine::Precision::UNSPECIFIED;
    std::tie(groupConvParams, netPrecision, inPrc, outPrc, inLayout, outLayout, inputShape, targetDevice) = this->GetParam();
    ngraph::op::PadType padType;
    InferenceEngine::SizeVector kernel, stride, dilation;
    std::vector<ptrdiff_t> padBegin, padEnd;
    size_t convOutChannels, numGroups;
    std::tie(kernel, stride, padBegin, padEnd, dilation, convOutChannels, numGroups, padType) = groupConvParams;
    auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
    auto params = ngraph::builder::makeParams(ngPrc, {inputShape});
    auto paramOuts = ngraph::helpers::convert2OutputVector(
            ngraph::helpers::castOps2Nodes<ngraph::op::Parameter>(params));
    auto groupConv = std::dynamic_pointer_cast<ngraph::opset1::GroupConvolution>(
            ngraph::builder::makeGroupConvolution(paramOuts[0], ngPrc, kernel, stride, padBegin,
                                             padEnd, dilation, padType, convOutChannels, numGroups));
    ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(groupConv)};
    function = std::make_shared<ngraph::Function>(results, params, "groupConvolution");
}
}  // namespace LayerTestsDefinitions
