/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. 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 #include #include #include "gflags/gflags.h" #include "test/cpp/inference/api/tester_helper.h" #include "xpu/runtime.h" #include "xpu/xdnn.h" namespace paddle_infer { static const std::vector TRUTH_VALUES = { 127.779f, 738.165f, 1013.22f, -438.17f, 366.401f, 927.659f, 736.222f, -633.684f, -329.927f, -430.155f, -633.062f, -146.548f, -1324.28f, -1349.36f, -242.675f, 117.448f, -801.723f, -391.514f, -404.818f, 454.16f, 515.48f, -133.031f, 69.293f, 590.096f, -1434.69f, -1070.89f, 307.074f, 400.525f, -316.12f, -587.125f, -161.056f, 800.363f, -96.4708f, 748.706f, 868.174f, -447.938f, 112.737f, 1127.2f, 47.4355f, 677.72f, 593.186f, -336.4f, 551.362f, 397.823f, 78.3979f, -715.398f, 405.969f, 404.256f, 246.019f, -8.42969f, 131.365f, -648.051f}; void PrepareInput(std::shared_ptr predictor) { const int batch = 1; const int channel = 3; const int height = 318; const int width = 318; const int input_num = batch * channel * height * width; std::vector input(input_num, 1); auto input_names = predictor->GetInputNames(); auto input_t = predictor->GetInputHandle(input_names[0]); input_t->Reshape({batch, channel, height, width}); input_t->CopyFromCpu(input.data()); } void CompareOutput(std::shared_ptr predictor) { auto output_names = predictor->GetOutputNames(); auto output_t = predictor->GetOutputHandle(output_names[0]); std::vector output_shape = output_t->shape(); size_t out_num = std::accumulate( output_shape.begin(), output_shape.end(), 1, std::multiplies()); std::vector out_data; out_data.resize(out_num); output_t->CopyToCpu(out_data.data()); float* data_o = out_data.data(); for (size_t j = 0; j < out_num; j += 10) { EXPECT_NEAR( (data_o[j] - TRUTH_VALUES[j / 10]) / TRUTH_VALUES[j / 10], 0., 10e-3); } } Config XpuConfig() { std::string model_dir = FLAGS_infer_model + "/" + "model"; Config config; config.SetModel(model_dir + "/model", model_dir + "/params"); config.EnableXpu(); return config; } TEST(resnet50_xpu, basic) { Config config = XpuConfig(); auto predictor = CreatePredictor(config); PrepareInput(predictor); predictor->Run(); CompareOutput(predictor); } #define RUN_WITH_RUNTIME_CONFIG(idx_, config_) \ Config config##idx_ = XpuConfig(); \ auto predictor##idx_ = CreatePredictor(config##idx_); \ PrepareInput(predictor##idx_); \ experimental::InternalUtils::RunWithRuntimeConfig(predictor##idx_.get(), \ &config_); \ CompareOutput(predictor##idx_); \ CHECK_EQ(predictor##idx_->GetExecStream(), config_.stream); TEST(runtime_stream, null_stream) { experimental::XpuRuntimeConfig xpu_runtime_config = {nullptr, 0, nullptr, 0}; RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config); } TEST(runtime_stream, new_stream) { void* stream = nullptr; xpu_stream_create(&stream); CHECK_NOTNULL(stream); { experimental::XpuRuntimeConfig xpu_runtime_config = {stream, 0, nullptr, 0}; RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config); } xpu_stream_destroy(stream); } TEST(runtime_stream, 2_null_stream) { experimental::XpuRuntimeConfig xpu_runtime_config = {nullptr, 0, nullptr, 0}; RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config); RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config); } TEST(runtime_stream, null_and_new_stream) { experimental::XpuRuntimeConfig xpu_runtime_config0 = {nullptr, 0, nullptr, 0}; void* stream = nullptr; xpu_stream_create(&stream); CHECK_NOTNULL(stream); { experimental::XpuRuntimeConfig xpu_runtime_config1 = { stream, 0, nullptr, 0}; RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0); RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1); } xpu_stream_destroy(stream); } TEST(runtime_stream, 2_new_same_stream) { void* stream = nullptr; xpu_stream_create(&stream); CHECK_NOTNULL(stream); experimental::XpuRuntimeConfig xpu_runtime_config = {stream, 0, nullptr, 0}; { RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config); RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config); } xpu_stream_destroy(stream); } TEST(runtime_stream, 2_new_different_stream) { void* stream0 = nullptr; xpu_stream_create(&stream0); CHECK_NOTNULL(stream0); experimental::XpuRuntimeConfig xpu_runtime_config0 = {stream0, 0, nullptr, 0}; void* stream1 = nullptr; xpu_stream_create(&stream1); CHECK_NOTNULL(stream1); experimental::XpuRuntimeConfig xpu_runtime_config1 = {stream1, 0, nullptr, 0}; { RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0); RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1); } xpu_stream_destroy(stream0); xpu_stream_destroy(stream1); } void RunPredictorWithRuntimeConfig( std::shared_ptr predictor, experimental::XpuRuntimeConfig runtime_config) { PrepareInput(predictor); experimental::InternalUtils::RunWithRuntimeConfig(predictor.get(), &runtime_config); CompareOutput(predictor); CHECK_EQ(predictor->GetExecStream(), runtime_config.stream); } TEST(runtime_stream, 2_thread) { void* stream0 = nullptr; xpu_stream_create(&stream0); CHECK_NOTNULL(stream0); experimental::XpuRuntimeConfig xpu_runtime_config0 = {stream0, 0, nullptr, 0}; void* stream1 = nullptr; xpu_stream_create(&stream1); CHECK_NOTNULL(stream1); experimental::XpuRuntimeConfig xpu_runtime_config1 = {stream1, 0, nullptr, 0}; { RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0); RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1); std::thread t0( RunPredictorWithRuntimeConfig, predictor0, xpu_runtime_config0); std::thread t1( RunPredictorWithRuntimeConfig, predictor1, xpu_runtime_config1); t0.join(); t1.join(); } xpu_stream_destroy(stream0); xpu_stream_destroy(stream1); } } // namespace paddle_infer