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48 lines
1.7 KiB
48 lines
1.7 KiB
5 years ago
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// Copyright (c) 2019 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 <paddle_inference_api.h>
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#include <fstream>
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#include <iostream>
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void SetConfig(paddle::AnalysisConfig *);
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int main(int argc, char *argv[]) {
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paddle::AnalysisConfig config;
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SetConfig(&config);
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auto predictor = paddle::CreatePaddlePredictor(config);
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auto input_name = predictor->GetInputNames()[0];
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auto input = predictor->GetInputTensor(input_name);
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std::cout << predictor->GetOutputNames()[0] << std::endl;
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std::vector<int> shape{1, 3, 300, 300};
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input->Reshape(std::move(shape));
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std::vector<float> data(1 * 300 * 300 * 3);
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std::ifstream fin("data/data.txt");
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for (int i = 0; i < data.size(); i++) {
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fin >> data[i];
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}
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input->copy_from_cpu(data.data());
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predictor->ZeroCopyRun();
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auto output_name = predictor->GetOutputNames()[0];
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output = predictor->GetOutputTensor(output_name);
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return 0;
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}
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void SetConfig(paddle::AnalysisConfig *config) {
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config->SetModel("data/model/__model__", "data/model/__params__");
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config->SwitchUseFeedFetchOps(true);
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config->SwitchSpecifyInputNames(true);
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config->SwitchIrOptim(false);
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}
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