wehub-resource-sync
47 lines
1.5 KiB
C++
47 lines
1.5 KiB
C++
/* Copyright (c) 2019 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/common/flags.h"
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#include "test/cpp/inference/api/trt_test_helper.h"
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namespace paddle {
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namespace inference {
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TEST(TensorRT, split_converter) {
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std::string model_dir = FLAGS_infer_model + "/split_converter";
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std::string opt_cache_dir = model_dir + "/_opt_cache";
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delete_cache_files(opt_cache_dir);
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AnalysisConfig config;
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int batch_size = 4;
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int channels = 4;
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int height = 4;
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int width = 4;
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config.EnableUseGpu(100, 0);
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config.SetModel(model_dir);
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config.EnableTensorRtEngine(
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1 << 20, batch_size, 1, AnalysisConfig::Precision::kInt8, false, true);
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std::map<std::string, std::vector<int>> input_shape;
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input_shape["x"] = {batch_size, channels, height, width};
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config.SetTRTDynamicShapeInfo(input_shape, input_shape, input_shape, false);
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auto predictor = CreatePaddlePredictor(config);
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}
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} // namespace inference
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} // namespace paddle
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