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68 lines
2.2 KiB
68 lines
2.2 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 ConcatOpConverter : 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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VLOG(3) << "convert a fluid mul op to tensorrt mul layer without bias";
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framework::OpDesc op_desc(op, nullptr);
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// Declare inputs
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std::vector<nvinfer1::ITensor*> itensors;
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for (auto& input_name : op_desc.Input("X")) {
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itensors.push_back(engine_->GetITensor(input_name));
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}
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int axis = BOOST_GET_CONST(int, op_desc.GetAttr("axis"));
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PADDLE_ENFORCE_GT(axis, 0, platform::errors::InvalidArgument(
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"The axis attr of Concat"
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" op should be larger than 0 for trt. "
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"But received %d.",
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axis));
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auto* layer = TRT_ENGINE_ADD_LAYER(engine_, Concatenation, itensors.data(),
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itensors.size());
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if (!engine_->with_dynamic_shape()) {
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axis = axis - 1; // Remove batch dim
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}
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layer->setAxis(axis);
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auto output_name = op_desc.Output("Out")[0];
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RreplenishLayerAndOutput(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(concat, ConcatOpConverter);
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