91 lines
2.5 KiB
C++
91 lines
2.5 KiB
C++
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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namespace opencv_test {
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struct LstmParams {
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// Batch size
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int nrSamples;
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// Size of the input vector
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int inputSize;
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// Size of the internal state vector
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int hiddenSize;
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// Number of timesteps for the LSTM
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int nrSteps;
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};
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static inline void PrintTo(const LstmParams& params, ::std::ostream* os) {
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(*os) << "BATCH=" << params.nrSamples
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<< ", IN=" << params.inputSize
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<< ", HIDDEN=" << params.hiddenSize
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<< ", TS=" << params.nrSteps;
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}
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static const LstmParams testLstmConfigs[] = {
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{1, 192, 192, 100},
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{1, 1024, 192, 100},
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{1, 64, 192, 100},
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{1, 192, 512, 100},
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{64, 192, 192, 2},
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{64, 1024, 192, 2},
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{64, 64, 192, 2},
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{64, 192, 512, 2},
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{128, 192, 192, 2},
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{128, 1024, 192, 2},
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{128, 64, 192, 2},
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{128, 192, 512, 2}
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};
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class Layer_LSTM : public TestBaseWithParam<LstmParams> {};
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PERF_TEST_P_(Layer_LSTM, lstm) {
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const LstmParams& params = GetParam();
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LayerParams lp;
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lp.type = "LSTM";
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lp.name = "testLstm";
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lp.set("produce_cell_output", false);
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lp.set("use_timestamp_dim", true);
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Mat weightH(params.hiddenSize * 4, params.hiddenSize, CV_32FC1, cv::Scalar(0));
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Mat weightX(params.hiddenSize * 4, params.inputSize, CV_32FC1, cv::Scalar(0));
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Mat bias(params.hiddenSize * 4, 1, CV_32FC1, cv::Scalar(0));
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Mat hInternal(params.nrSteps, params.hiddenSize, CV_32FC1, cv::Scalar(0));
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Mat cInternal(params.nrSteps, params.hiddenSize, CV_32FC1, cv::Scalar(0));
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lp.blobs.push_back(weightH);
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lp.blobs.push_back(weightX);
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lp.blobs.push_back(bias);
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lp.blobs.push_back(hInternal);
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lp.blobs.push_back(cInternal);
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std::vector<int> inputDims;
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inputDims.push_back(params.nrSamples);
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inputDims.push_back(params.nrSteps);
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inputDims.push_back(params.inputSize);
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Mat input(inputDims.size(), inputDims.data(), CV_32FC1);
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input = cv::Scalar(0);
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Net net;
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net.addLayerToPrev(lp.name, lp.type, lp);
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net.setInput(input);
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// Warm up
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std::vector<Mat> outputs(2);
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net.forward(outputs, "testLstm");
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TEST_CYCLE()
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{
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net.forward(outputs, "testLstm");
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}
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SANITY_CHECK_NOTHING();
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}
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INSTANTIATE_TEST_CASE_P(/**/, Layer_LSTM, testing::ValuesIn(testLstmConfigs));
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} // namespace
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