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88 lines
2.6 KiB
88 lines
2.6 KiB
6 years ago
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/* 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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#pragma once
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#include <vector>
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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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class ElementWisePlugin : public PluginTensorRT {
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public:
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ElementWisePlugin(nvinfer1::ElementWiseOperation type,
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nvinfer1::Dims const &dims_x, nvinfer1::Dims const &dims_y,
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int axis)
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: type_(type),
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dims_x_(dims_x),
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dims_y_(dims_y),
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axis_(axis),
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prev_size_(1),
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midd_size_(1),
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post_size_(1) {}
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ElementWisePlugin(void const *serial_data, size_t serial_length) {
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deserializeBase(serial_data, serial_length);
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DeserializeValue(&serial_data, &serial_length, &axis_);
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DeserializeValue(&serial_data, &serial_length, &dims_x_);
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DeserializeValue(&serial_data, &serial_length, &dims_y_);
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}
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ElementWisePlugin *clone() const override {
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// return new ElementWisePlugin(dims_x_, dims_y_, axis_);
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return nullptr;
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}
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const char *getPluginType() const override { return "elementwise"; }
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nvinfer1::Dims getOutputDimensions(int index,
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const nvinfer1::Dims *input_dims,
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int num_inputs) override;
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int initialize() override;
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// execute the layer
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int enqueue(int batch_size, const void *const *inputs, void **outputs,
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void *workspace, cudaStream_t stream);
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protected:
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size_t getSerializationSize() override {
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return SerializedSize(axis_) + SerializedSize(dims_x_) +
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SerializedSize(dims_y_) + getBaseSerializationSize();
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}
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void serialize(void *buffer) override {
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serializeBase(buffer);
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SerializeValue(&buffer, axis_);
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SerializeValue(&buffer, dims_x_);
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SerializeValue(&buffer, dims_y_);
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}
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nvinfer1::ElementWiseOperation type_;
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nvinfer1::Dims dims_x_;
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nvinfer1::Dims dims_y_;
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int axis_;
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int prev_size_;
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int midd_size_;
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int post_size_;
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};
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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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