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78 lines
2.6 KiB
78 lines
2.6 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 "paddle/fluid/inference/tensorrt/convert/op_converter.h"
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namespace paddle {
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namespace framework {
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class Scope;
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namespace proto {
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class OpDesc;
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} // namespace proto
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} // namespace framework
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} // namespace paddle
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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/*
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* ConcatOp
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*/
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class ShuffleChannelOpConverter : public OpConverter {
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public:
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void operator()(const framework::proto::OpDesc& op,
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const framework::Scope& scope, bool test_mode) override {
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framework::OpDesc op_desc(op, nullptr);
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// Declare inputs
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auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
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auto input_dims = input->getDimensions();
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PADDLE_ENFORCE_EQ(
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input_dims.nbDims, 3,
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platform::errors::InvalidArgument("ShuffleChannel TRT op converter "
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"input dims is invalid. The input "
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"dims size should be 3, but got %d.",
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input_dims.nbDims));
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int c = input_dims.d[0];
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int h = input_dims.d[1];
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int w = input_dims.d[2];
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int group = BOOST_GET_CONST(int, op_desc.GetAttr("group"));
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if (engine_->with_dynamic_shape()) {
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PADDLE_THROW(platform::errors::Fatal(
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"You are running the TRT Dynamic Shape mode, "
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"the shuffle_channel op does not support dynamic shape yet"));
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}
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auto* layer = TRT_ENGINE_ADD_LAYER(engine_, Shuffle, *input);
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nvinfer1::Dims4 reshape_dim(group, c / group, h, w);
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layer->setReshapeDimensions(reshape_dim);
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layer->setSecondTranspose({1, 0, 2, 3});
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auto* output = layer->getOutput(0);
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auto* reshape_layer = TRT_ENGINE_ADD_LAYER(engine_, Shuffle, *output);
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nvinfer1::DimsCHW reshape_dim2(c, h, w);
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reshape_layer->setReshapeDimensions(reshape_dim2);
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auto output_name = op_desc.Output("Out")[0];
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RreplenishLayerAndOutput(reshape_layer, "concat", {output_name}, test_mode);
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}
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};
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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REGISTER_TRT_OP_CONVERTER(shuffle_channel, ShuffleChannelOpConverter);
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