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90 lines
3.1 KiB
90 lines
3.1 KiB
// Copyright (c) 2018 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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#pragma once
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#include <algorithm>
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#include <string>
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#include <vector>
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#include "paddle/fluid/inference/tensorrt/engine.h"
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#include "paddle/fluid/inference/tensorrt/plugin/trt_plugin.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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namespace plugin {
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#if IS_TRT_VERSION_GE(6000)
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class SlicePluginDynamic : public DynamicPluginTensorRT {
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public:
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explicit SlicePluginDynamic(std::vector<int> starts, std::vector<int> ends,
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std::vector<int> axes, bool ban_fp16)
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: starts_(starts), ends_(ends), axes_(axes), ban_fp16_(ban_fp16) {}
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SlicePluginDynamic(void const* serialData, size_t serialLength) {}
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nvinfer1::IPluginV2DynamicExt* clone() const override {
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return new SlicePluginDynamic(starts_, ends_, axes_, ban_fp16_);
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}
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const char* getPluginType() const override { return "slice_plugin"; }
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int getNbOutputs() const override { return 1; }
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int initialize() override;
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size_t getSerializationSize() const override;
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void serialize(void* buffer) const override;
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nvinfer1::DimsExprs getOutputDimensions(
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int output_index, const nvinfer1::DimsExprs* inputs, int nb_inputs,
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nvinfer1::IExprBuilder& expr_builder) override;
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bool supportsFormatCombination(int pos,
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const nvinfer1::PluginTensorDesc* inOut,
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int nbInputs, int nbOutputs) override;
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void configurePlugin(const nvinfer1::DynamicPluginTensorDesc* in,
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int nbInputs,
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const nvinfer1::DynamicPluginTensorDesc* out,
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int nbOutputs) override {}
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size_t getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs,
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int nbInputs,
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const nvinfer1::PluginTensorDesc* outputs,
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int nbOutputs) const override {
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return 0;
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}
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int enqueue(const nvinfer1::PluginTensorDesc* inputDesc,
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const nvinfer1::PluginTensorDesc* outputDesc,
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const void* const* inputs, void* const* outputs, void* workspace,
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cudaStream_t stream) override;
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nvinfer1::DataType getOutputDataType(int index,
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const nvinfer1::DataType* inputTypes,
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int nbInputs) const override;
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void destroy() override { delete this; }
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private:
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std::vector<int> starts_;
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std::vector<int> ends_;
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std::vector<int> axes_;
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bool ban_fp16_{false};
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};
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#endif
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} // namespace plugin
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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