wehub-resource-sync
61 lines
2.0 KiB
C++
61 lines
2.0 KiB
C++
/* 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 <gtest/gtest.h>
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#include "paddle/fluid/inference/tensorrt/plugin/split_op_plugin.h"
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namespace paddle::inference::tensorrt::plugin {
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TEST(split_op_plugin, test_plugin) {
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int axis = 1;
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std::vector<int> output_lengths{1, 1};
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bool with_fp16 = false;
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std::vector<nvinfer1::DataType> input_types{nvinfer1::DataType::kFLOAT};
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std::vector<nvinfer1::Dims> input_dims;
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SplitPlugin sp_plugin(axis, output_lengths, with_fp16);
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nvinfer1::Dims in_dims;
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in_dims.nbDims = 4;
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input_dims.push_back(in_dims);
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sp_plugin.configurePlugin(input_dims.data(),
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1,
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nullptr,
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2,
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input_types.data(),
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nullptr,
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nullptr,
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nullptr,
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nvinfer1::PluginFormat::kLINEAR,
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4);
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sp_plugin.initialize();
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sp_plugin.getPluginType();
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sp_plugin.canBroadcastInputAcrossBatch(0);
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sp_plugin.getNbOutputs();
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auto clone_plugin = sp_plugin.clone();
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clone_plugin->setPluginNamespace("test");
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clone_plugin->destroy();
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sp_plugin.getOutputDataType(0, input_types.data(), 1);
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sp_plugin.terminate();
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}
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TEST(split_op_plugin, test_plugin_creator) {
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SplitPluginCreator creator;
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creator.getFieldNames();
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creator.createPlugin("test", nullptr);
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creator.setPluginNamespace("test");
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}
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} // namespace paddle::inference::tensorrt::plugin
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