wehub-resource-sync
82 lines
2.8 KiB
C++
82 lines
2.8 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 <string>
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#include <thread> // NOLINT
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#include <vector>
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#include "paddle/fluid/framework/ir/pass.h"
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/inference/api/helper.h"
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#include "paddle/fluid/inference/api/onnxruntime_predictor.h"
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#include "paddle/fluid/inference/api/paddle_api.h"
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#include "paddle/fluid/inference/api/paddle_inference_api.h"
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#include "paddle/fluid/inference/utils/io_utils.h"
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#include "paddle/phi/backends/cpu/cpu_info.h"
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#include "test/cpp/inference/api/tester_helper.h"
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PD_DEFINE_string(dirname, "", "dirname to tests.");
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namespace paddle {
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TEST(ONNXRuntimePredictor, onnxruntime_on) {
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AnalysisConfig config;
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config.SetModel(FLAGS_dirname + "/inference.pdmodel",
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FLAGS_dirname + "/inference.pdiparams");
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config.EnableONNXRuntime();
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config.EnableORTOptimization();
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config.SetCpuMathLibraryNumThreads(2);
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LOG(INFO) << config.Summary();
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auto _predictor =
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CreatePaddlePredictor<AnalysisConfig,
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paddle::PaddleEngineKind::kONNXRuntime>(config);
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ASSERT_TRUE(_predictor);
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auto* predictor = static_cast<ONNXRuntimePredictor*>(_predictor.get());
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ASSERT_TRUE(predictor);
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ASSERT_TRUE(!predictor->Clone());
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// Dummy Input Data
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std::vector<int64_t> input_shape = {-1, 3, 224, 224};
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std::vector<float> input_data(1 * 3 * 224 * 224, 1.0);
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std::vector<float> out_data;
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out_data.resize(1000);
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// testing all interfaces
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auto input_names = predictor->GetInputNames();
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auto output_names = predictor->GetOutputNames();
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auto get_input_shape = predictor->GetInputTensorShape();
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ASSERT_EQ(input_names.size(), 1UL);
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ASSERT_EQ(output_names.size(), 1UL);
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ASSERT_EQ(input_names[0], "inputs");
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ASSERT_EQ(output_names[0], "save_infer_model/scale_0.tmp_1");
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ASSERT_EQ(get_input_shape["inputs"], input_shape);
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auto input_tensor = predictor->GetInputTensor(input_names[0]);
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input_tensor->Reshape({1, 3, 224, 224});
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auto output_tensor = predictor->GetOutputTensor(output_names[0]);
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input_tensor->CopyFromCpu(input_data.data());
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ASSERT_TRUE(predictor->ZeroCopyRun());
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output_tensor->CopyToCpu(out_data.data());
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predictor->TryShrinkMemory();
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}
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} // namespace paddle
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