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71 lines
2.0 KiB
71 lines
2.0 KiB
/* Copyright (c) 2018 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 "paddle/fluid/inference/api/paddle_inference_api.h"
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namespace paddle {
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/*
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* Do not use this, just a demo indicating how to customize a config for a
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* specific predictor.
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*/
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struct DemoConfig : public PaddlePredictor::Config {
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float other_config;
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};
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/*
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* Do not use this, just a demo indicating how to customize a Predictor.
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*/
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class DemoPredictor : public PaddlePredictor {
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public:
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explicit DemoPredictor(const DemoConfig &config) {
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LOG(INFO) << "I get other_config " << config.other_config;
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}
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bool Run(const std::vector<PaddleTensor> &inputs,
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std::vector<PaddleTensor> *output_data,
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int batch_size = 0) override {
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LOG(INFO) << "Run";
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return false;
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}
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std::unique_ptr<PaddlePredictor> Clone() override { return nullptr; }
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~DemoPredictor() override {}
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};
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template <>
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std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<DemoConfig>(
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const DemoConfig &config) {
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std::unique_ptr<PaddlePredictor> x(new DemoPredictor(config));
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return x;
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}
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TEST(paddle_inference_api, demo) {
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DemoConfig config;
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config.other_config = 1.7;
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auto predictor = CreatePaddlePredictor(config);
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std::vector<PaddleTensor> outputs;
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predictor->Run({}, &outputs);
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}
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TEST(paddle_inference_api, get_version) {
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LOG(INFO) << "paddle version:\n" << get_version();
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auto version = get_version();
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ASSERT_FALSE(version.empty());
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}
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} // namespace paddle
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