//***************************************************************************** // Copyright 2017-2019 Intel Corporation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. //***************************************************************************** #include <algorithm> #include <cmath> #include <cstdint> #include <fstream> #include <iterator> #include <limits> #include <sstream> #include <stdexcept> #include <vector> #include "gtest/gtest.h" #include "ngraph/frontend/onnx_import/onnx.hpp" #include "ngraph/ngraph.hpp" #include "util/all_close.hpp" #include "util/all_close_f.hpp" #include "util/ndarray.hpp" #include "util/test_case.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace ngraph; static std::string s_manifest = "${MANIFEST}"; NGRAPH_TEST(onnx_${BACKEND_NAME}, model_lstm_fwd_with_clip) { auto function = onnx_import::import_onnx_model( file_util::path_join(SERIALIZED_ZOO, "onnx/lstm_fwd_with_clip.prototxt")); auto test_case = ngraph::test::NgraphTestCase(function, "${BACKEND_NAME}"); test_case.add_input<float>({-0.455351, -0.276391, -0.185934, -0.269585}); // X test_case.add_input<float>({-0.494659f, // W 0.0453352f, -0.487793f, 0.417264f, -0.0175329f, 0.489074f, -0.446013f, 0.414029f, -0.0091708f, -0.255364f, -0.106952f, -0.266717f, -0.0888852f, -0.428709f, -0.283349f, 0.208792f}); // W test_case.add_input<float>({0.146626f, -0.0620289f, -0.0815302f, 0.100482f, -0.219535f, -0.306635f, -0.28515f, -0.314112f, -0.228172f, 0.405972f, 0.31576f, 0.281487f, -0.394864f, 0.42111f, -0.386624f, -0.390225f}); // R test_case.add_input<float>({0.381619f, 0.0323954f, -0.14449f, 0.420804f, -0.258721f, 0.45056f, -0.250755f, 0.0967895f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}); // B test_case.add_input<float>({0.2345f, 0.5235f, 0.4378f, 0.3475f, 0.8927f, 0.3456f}); // P test_case.add_expected_output<float>( Shape{2, 1, 1, 2}, {-0.02280854f, 0.02744377f, -0.03516197f, 0.03875681f}); // Y_data test_case.add_expected_output<float>(Shape{1, 1, 2}, {-0.03516197f, 0.03875681f}); // Y_h_data test_case.add_expected_output<float>(Shape{1, 1, 2}, {-0.07415761f, 0.07395997f}); // Y_c_data // We have to enlarge tolerance bits to 3 - it's only one bit more than default value. // The discrepancies may occur at most on 7th decimal position. test_case.set_tolerance(3); test_case.run(); } NGRAPH_TEST(onnx_${BACKEND_NAME}, model_lstm_fwd_mixed_seq) { auto function = onnx_import::import_onnx_model( file_util::path_join(SERIALIZED_ZOO, "onnx/lstm_fwd_mixed_seq.prototxt")); auto test_case = ngraph::test::NgraphTestCase(function, "${BACKEND_NAME}"); int hidden_size{3}; test_case.add_input<float>({1.f, 2.f, 10.f, 11.f}); // X test_case.add_input<float>( {0.1f, 0.2f, 0.3f, 0.4f, 1.f, 2.f, 3.f, 4.f, 10.f, 11.f, 12.f, 13.f}); // W test_case.add_input(std::vector<float>(4 * hidden_size * hidden_size, 0.1f)); // R test_case.add_input(std::vector<float>(8 * hidden_size, 0.0f)); // B test_case.add_input<int>({1, 2}); // seq_lengths test_case.add_expected_output<float>(Shape{2, 1, 2, 3}, {0.28828835f, 0.36581863f, 0.45679406f, 0.34526032f, 0.47220859f, 0.55850911f, 0.f, 0.f, 0.f, 0.85882828f, 0.90703777f, 0.92382453f}); // Y_data test_case.add_expected_output<float>( Shape{1, 2, 3}, {0.28828835f, 0.36581863f, 0.45679406f, 0.85882828f, 0.90703777f, 0.92382453f}); // Y_h_data test_case.add_expected_output<float>( Shape{1, 2, 3}, {0.52497941f, 0.54983425f, 0.5744428f, 1.3249796f, 1.51063104f, 1.61451544f}); // Y_c_data // We have to enlarge tolerance bits to 3 - it's only one bit more than default value. // The discrepancies may occur at most on 7th decimal position. test_case.set_tolerance(3); test_case.run(); } NGRAPH_TEST(onnx_${BACKEND_NAME}, model_lstm_fwd_hardsigmoid_activation) { auto function = onnx_import::import_onnx_model( file_util::path_join(SERIALIZED_ZOO, "onnx/lstm_fwd_hardsigmoid_activation.prototxt")); auto test_case = ngraph::test::NgraphTestCase(function, "${BACKEND_NAME}"); // X test_case.add_input<float>({-0.455351f, -0.276391f, -0.185934f, -0.269585f}); // W test_case.add_input<float>({-0.494659f, 0.0453352f, -0.487793f, 0.417264f, -0.0175329f, 0.489074f, -0.446013f, 0.414029f, -0.0091708f, -0.255364f, -0.106952f, -0.266717f, -0.0888852f, -0.428709f, -0.283349f, 0.208792f}); // R test_case.add_input<float>({0.146626f, -0.0620289f, -0.0815302f, 0.100482f, -0.219535f, -0.306635f, -0.28515f, -0.314112f, -0.228172f, 0.405972f, 0.31576f, 0.281487f, -0.394864f, 0.42111f, -0.386624f, -0.390225f}); // Y test_case.add_expected_output<float>(Shape{2, 1, 1, 2}, {0.09086666f, 0.04378549f, 0.12914555f, 0.00257774f}); // Y_h test_case.add_expected_output<float>(Shape{1, 1, 2}, {0.12914555f, 0.00257774f}); // Y_c test_case.add_expected_output<float>(Shape{1, 1, 2}, {0.19017234f, 0.00356848f}); // The discrepancies occur at most at 18th mantissa bit - 8th decimal position. test_case.set_tolerance(6); test_case.run(); }