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76 lines
2.6 KiB
76 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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#include "paddle/fluid/inference/tensorrt/plugin/stack_op_plugin.h"
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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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* Stack converter from fluid to tensorRT.
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*/
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class StackOpConverter : 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(4) << "convert fluid stack op to tensorrt stack layer";
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framework::OpDesc op_desc(op, nullptr);
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auto input = op_desc.Input("X");
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int input_num = input.size();
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nvinfer1::ITensor** inputs =
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(nvinfer1::ITensor**)malloc(input_num * sizeof(nvinfer1::ITensor*));
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for (int i = 0; i < input_num; ++i) {
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inputs[i] = engine_->GetITensor(input[i]);
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}
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int axis = BOOST_GET_CONST(int, op_desc.GetAttr("axis"));
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if (axis < 0) {
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axis = axis + inputs[0]->getDimensions().nbDims + 1;
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}
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nvinfer1::ILayer* layer = nullptr;
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if (engine_->with_dynamic_shape()) {
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#if IS_TRT_VERSION_GE(6000)
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plugin::StackPluginDynamic* plugin =
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new plugin::StackPluginDynamic(axis, input_num);
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layer = engine_->AddPluginV2(inputs, input_num, plugin);
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assert(layer != nullptr);
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#else
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PADDLE_THROW(platform::errors::Fatal(
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"You are running the TRT Dynamic Shape mode, need to confirm that "
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"your TRT version is no less than 6.0"));
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#endif
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} else {
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PADDLE_THROW(platform::errors::Fatal(
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"You are running the Ernie(Bert) model in static"
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"shape mode, which is not supported for the time being.\n"
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"You can use the config.SetTRTDynamicShapeInfo(...) interface"
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" to set the shape information to run the dynamic shape mode."));
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}
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auto output_name = op_desc.Output("Y").front();
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RreplenishLayerAndOutput(layer, "stack", {output_name}, test_mode);
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free(inputs);
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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(stack, StackOpConverter);
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