/******************************************************************************* * * MIT License * * Copyright (c) 2023 Advanced Micro Devices, Inc. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * *******************************************************************************/ #include #include #include "get_handle.hpp" #include "gtest_common.hpp" namespace deepbench_rnn { void GetArgs(const std::string& param, std::vector& tokens) { std::stringstream ss(param); std::istream_iterator begin(ss); std::istream_iterator end; while(begin != end) tokens.push_back(*begin++); } class GPU_DeepBenchRNN_FP32 : public testing::TestWithParam> { MIOPEN_DECLARE_GTEST_USES_TEST_DRIVE(); }; void Run2dDriverFloat(void) { std::vector params = GPU_DeepBenchRNN_FP32::GetParam(); for(const auto& test_value : params) { std::vector tokens; GetArgs(test_value, tokens); std::vector ptrs; std::transform(tokens.begin(), tokens.end(), std::back_inserter(ptrs), [](const auto& str) { return str.data(); }); // This part is commented out because rnn_vanilla_driver does not exist after porting // rnn_vanilla.hpp to gtest implementation. However, this doesn't change anything because // this test is already skipped before because it uses test_driver in gtest // testing::internal::CaptureStderr(); // test_drive(ptrs.size(), ptrs.data(), "deepbench_rnn"); // auto capture = testing::internal::GetCapturedStderr(); // std::cout << capture; } }; std::vector GetTestCases(const std::string& precision) { std::string flags = "--verbose " + precision; std::string postFlags = "--num-layers 1 --in-mode 1 --bias-mode 0 -dir-mode 0 --rnn-mode 0 --flat-batch-fill"; return { // clang-format off {flags + " --batch-size 16 --seq-len 50 --vector-len 176 --hidden-size 176 " + postFlags}, {flags + " --batch-size 32 --seq-len 50 --vector-len 176 --hidden-size 176 " + postFlags}, {flags + " --batch-size 64 --seq-len 50 --vector-len 1760 --hidden-size 1760 " + postFlags}, {flags + " --batch-size 16 --seq-len 50 --vector-len 204 --hidden-size 204 " + postFlags}, {flags + " --batch-size 32 --seq-len 50 --vector-len 204 --hidden-size 204 " + postFlags}, {flags + " --batch-size 64 --seq-len 50 --vector-len 2048 --hidden-size 2048 " + postFlags}, {flags + " --batch-size 16 --seq-len 50 --vector-len 256 --hidden-size 256 " + postFlags}, {flags + " --batch-size 32 --seq-len 50 --vector-len 256 --hidden-size 256 " + postFlags}, {flags + " --batch-size 128 --seq-len 50 --vector-len 2560 --hidden-size 2560 " + postFlags} // clang-format on }; } } // namespace deepbench_rnn using namespace deepbench_rnn; TEST_P(GPU_DeepBenchRNN_FP32, FloatTest_deepbench_rnn) { Run2dDriverFloat(); }; INSTANTIATE_TEST_SUITE_P(Full, GPU_DeepBenchRNN_FP32, testing::Values(GetTestCases("--float")));