270 lines
9.6 KiB
C++
270 lines
9.6 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <glog/logging.h>
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#include <gtest/gtest.h>
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#include <cmath>
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#include "paddle/common/enforce.h"
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#include "paddle/common/flags.h"
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#include "test/cpp/inference/api/tester_helper.h"
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#include "xpu/runtime.h"
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#include "xpu/xdnn.h"
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namespace paddle_infer {
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static const std::vector<float> TRUTH_VALUES = {
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127.779f, 738.165f, 1013.22f, -438.17f, 366.401f, 927.659f, 736.222f,
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-633.684f, -329.927f, -430.155f, -633.062f, -146.548f, -1324.28f, -1349.36f,
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-242.675f, 117.448f, -801.723f, -391.514f, -404.818f, 454.16f, 515.48f,
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-133.031f, 69.293f, 590.096f, -1434.69f, -1070.89f, 307.074f, 400.525f,
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-316.12f, -587.125f, -161.056f, 800.363f, -96.4708f, 748.706f, 868.174f,
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-447.938f, 112.737f, 1127.2f, 47.4355f, 677.72f, 593.186f, -336.4f,
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551.362f, 397.823f, 78.3979f, -715.398f, 405.969f, 404.256f, 246.019f,
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-8.42969f, 131.365f, -648.051f};
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void PrepareInput(std::shared_ptr<Predictor> predictor) {
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const int batch = 1;
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const int channel = 3;
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const int height = 318;
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const int width = 318;
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const int input_num = batch * channel * height * width;
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std::vector<float> input(input_num, 1);
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auto input_names = predictor->GetInputNames();
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auto input_t = predictor->GetInputHandle(input_names[0]);
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input_t->Reshape({batch, channel, height, width});
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input_t->CopyFromCpu(input.data());
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}
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void CompareOutput(std::shared_ptr<Predictor> predictor) {
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auto output_names = predictor->GetOutputNames();
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auto output_t = predictor->GetOutputHandle(output_names[0]);
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std::vector<int> output_shape = output_t->shape();
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size_t out_num = std::accumulate(
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output_shape.begin(), output_shape.end(), 1, std::multiplies<int>());
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std::vector<float> out_data;
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out_data.resize(out_num);
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output_t->CopyToCpu(out_data.data());
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float* data_o = out_data.data();
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for (size_t j = 0; j < out_num; j += 10) {
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EXPECT_NEAR(
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(data_o[j] - TRUTH_VALUES[j / 10]) / TRUTH_VALUES[j / 10], 0., 10e-3);
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}
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}
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Config InferXpuConfig() {
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std::string model_dir = FLAGS_infer_model + "/" + "model";
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Config config;
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config.SetModel(model_dir + "/model", model_dir + "/params");
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config.EnableXpu();
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return config;
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}
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TEST(resnet50_xpu, basic) {
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Config config = InferXpuConfig();
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auto predictor = CreatePredictor(config);
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PrepareInput(predictor);
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predictor->Run();
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CompareOutput(predictor);
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}
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#define RUN_WITH_RUNTIME_CONFIG(idx_, config_) \
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Config config##idx_ = InferXpuConfig(); \
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auto predictor##idx_ = CreatePredictor(config##idx_); \
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PrepareInput(predictor##idx_); \
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experimental::InternalUtils::RunWithRuntimeConfig(predictor##idx_.get(), \
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&config_); \
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CompareOutput(predictor##idx_); \
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PADDLE_ENFORCE_EQ( \
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predictor##idx_->GetExecStream(), \
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config_.stream, \
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common::errors::InvalidArgument( \
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"predictor##idx_->GetExecStream() is not equal with " \
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"config_.stream while predictor##idx_->GetExecStream() " \
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"is %d and config_.stream is %d", \
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predictor##idx_->GetExecStream(), \
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config_.stream));
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TEST(runtime_stream, null_stream) {
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experimental::XpuRuntimeConfig xpu_runtime_config;
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xpu_runtime_config.context = nullptr;
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xpu_runtime_config.stream = nullptr;
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xpu_runtime_config.l3_size = 0;
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xpu_runtime_config.l3_ptr = nullptr;
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xpu_runtime_config.l3_autotune_size = 0;
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config);
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}
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TEST(runtime_stream, new_stream) {
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void* stream = nullptr;
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xpu_stream_create(&stream);
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CHECK_NOTNULL(stream);
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{
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experimental::XpuRuntimeConfig xpu_runtime_config;
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xpu_runtime_config.context = nullptr;
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xpu_runtime_config.stream = stream;
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xpu_runtime_config.l3_size = 0;
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xpu_runtime_config.l3_ptr = nullptr;
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xpu_runtime_config.l3_autotune_size = 0;
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config);
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}
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xpu_stream_destroy(stream);
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}
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TEST(runtime_stream, 2_null_stream) {
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experimental::XpuRuntimeConfig xpu_runtime_config;
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xpu_runtime_config.context = nullptr;
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xpu_runtime_config.stream = nullptr;
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xpu_runtime_config.l3_size = 0;
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xpu_runtime_config.l3_ptr = nullptr;
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xpu_runtime_config.l3_autotune_size = 0;
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config);
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RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config);
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}
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TEST(runtime_stream, null_and_new_stream) {
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experimental::XpuRuntimeConfig xpu_runtime_config0;
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xpu_runtime_config0.context = nullptr;
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xpu_runtime_config0.stream = nullptr;
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xpu_runtime_config0.l3_size = 0;
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xpu_runtime_config0.l3_ptr = nullptr;
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xpu_runtime_config0.l3_autotune_size = 0;
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void* stream = nullptr;
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xpu_stream_create(&stream);
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CHECK_NOTNULL(stream);
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{
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experimental::XpuRuntimeConfig xpu_runtime_config1;
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xpu_runtime_config1.context = nullptr;
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xpu_runtime_config1.stream = stream;
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xpu_runtime_config1.l3_size = 0;
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xpu_runtime_config1.l3_ptr = nullptr;
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xpu_runtime_config1.l3_autotune_size = 0;
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0);
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RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1);
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}
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xpu_stream_destroy(stream);
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}
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TEST(runtime_stream, 2_new_same_stream) {
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void* stream = nullptr;
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xpu_stream_create(&stream);
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CHECK_NOTNULL(stream);
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experimental::XpuRuntimeConfig xpu_runtime_config;
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xpu_runtime_config.context = nullptr;
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xpu_runtime_config.stream = stream;
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xpu_runtime_config.l3_size = 0;
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xpu_runtime_config.l3_ptr = nullptr;
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xpu_runtime_config.l3_autotune_size = 0;
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{
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config);
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RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config);
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}
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xpu_stream_destroy(stream);
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}
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TEST(runtime_stream, 2_new_different_stream) {
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void* stream0 = nullptr;
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xpu_stream_create(&stream0);
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CHECK_NOTNULL(stream0);
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experimental::XpuRuntimeConfig xpu_runtime_config0;
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xpu_runtime_config0.context = nullptr;
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xpu_runtime_config0.stream = stream0;
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xpu_runtime_config0.l3_size = 0;
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xpu_runtime_config0.l3_ptr = nullptr;
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xpu_runtime_config0.l3_autotune_size = 0;
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void* stream1 = nullptr;
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xpu_stream_create(&stream1);
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CHECK_NOTNULL(stream1);
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experimental::XpuRuntimeConfig xpu_runtime_config1;
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xpu_runtime_config1.context = nullptr;
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xpu_runtime_config1.stream = stream1;
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xpu_runtime_config1.l3_size = 0;
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xpu_runtime_config1.l3_ptr = nullptr;
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xpu_runtime_config1.l3_autotune_size = 0;
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{
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0);
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RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1);
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}
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xpu_stream_destroy(stream0);
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xpu_stream_destroy(stream1);
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}
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void RunPredictorWithRuntimeConfig(
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std::shared_ptr<Predictor> predictor,
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experimental::XpuRuntimeConfig runtime_config) {
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PrepareInput(predictor);
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experimental::InternalUtils::RunWithRuntimeConfig(predictor.get(),
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&runtime_config);
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CompareOutput(predictor);
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PADDLE_ENFORCE_EQ(predictor->GetExecStream(),
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runtime_config.stream,
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common::errors::InvalidArgument(
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"predictor->GetExecStream() is not equal with "
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"runtime_config.stream"));
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}
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TEST(runtime_stream, 2_thread) {
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void* stream0 = nullptr;
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xpu_stream_create(&stream0);
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CHECK_NOTNULL(stream0);
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experimental::XpuRuntimeConfig xpu_runtime_config0;
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xpu_runtime_config0.context = nullptr;
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xpu_runtime_config0.stream = stream0;
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xpu_runtime_config0.l3_size = 0;
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xpu_runtime_config0.l3_ptr = nullptr;
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xpu_runtime_config0.l3_autotune_size = 0;
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void* stream1 = nullptr;
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xpu_stream_create(&stream1);
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CHECK_NOTNULL(stream1);
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experimental::XpuRuntimeConfig xpu_runtime_config1;
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xpu_runtime_config1.context = nullptr;
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xpu_runtime_config1.stream = stream1;
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xpu_runtime_config1.l3_size = 0;
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xpu_runtime_config1.l3_ptr = nullptr;
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xpu_runtime_config1.l3_autotune_size = 0;
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{
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config0);
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RUN_WITH_RUNTIME_CONFIG(1, xpu_runtime_config1);
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std::thread t0(
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RunPredictorWithRuntimeConfig, predictor0, xpu_runtime_config0);
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std::thread t1(
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RunPredictorWithRuntimeConfig, predictor1, xpu_runtime_config1);
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t0.join();
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t1.join();
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}
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xpu_stream_destroy(stream0);
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xpu_stream_destroy(stream1);
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}
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TEST(runtime_context, new_context) {
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auto* context = baidu::xpu::api::create_context();
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CHECK_NOTNULL(context);
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{
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experimental::XpuRuntimeConfig xpu_runtime_config;
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xpu_runtime_config.context = context;
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xpu_runtime_config.stream = nullptr;
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xpu_runtime_config.l3_size = 0;
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xpu_runtime_config.l3_ptr = nullptr;
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xpu_runtime_config.l3_autotune_size = 0;
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RUN_WITH_RUNTIME_CONFIG(0, xpu_runtime_config);
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}
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baidu::xpu::api::destroy_context(context);
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}
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} // namespace paddle_infer
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