wehub-resource-sync
85 lines
3.0 KiB
C++
85 lines
3.0 KiB
C++
/* Copyright (c) 2023 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::inference::tensorrt {
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/*
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* GridSampler Op
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*/
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class GridSamplerOpConverter : 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,
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bool test_mode) override {
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#if IS_TRT_VERSION_GE(8510)
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VLOG(3) << "convert a grid_sampler op to tensorrt GridSample layer";
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framework::OpDesc op_desc(op, nullptr);
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std::string input_x_name = op_desc.Input("X").front();
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std::string input_grid_name = op_desc.Input("Grid").front();
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std::string output_name = op_desc.Output("Output").front();
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auto* input_x_tensor = engine_->GetITensor(input_x_name);
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auto* input_grid_tensor = engine_->GetITensor(input_grid_name);
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auto* layer = TRT_ENGINE_ADD_LAYER(
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engine_, GridSample, *input_x_tensor, *input_grid_tensor);
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const std::string mode =
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PADDLE_GET_CONST(std::string, op_desc.GetAttr("mode"));
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const std::string padding_mode =
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PADDLE_GET_CONST(std::string, op_desc.GetAttr("padding_mode"));
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const bool align_corners =
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PADDLE_GET_CONST(bool, op_desc.GetAttr("align_corners"));
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nvinfer1::InterpolationMode interpolationMode{
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nvinfer1::InterpolationMode::kNEAREST};
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if (mode == "nearest") {
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#if IS_TRT_VERSION_GE(8600)
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interpolationMode = nvinfer1::InterpolationMode::kNEAREST;
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#else
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interpolationMode = nvinfer1::ResizeMode::kNEAREST;
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#endif
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} else if (mode == "bilinear") {
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#if IS_TRT_VERSION_GE(8600)
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interpolationMode = nvinfer1::InterpolationMode::kLINEAR;
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#else
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interpolationMode = nvinfer1::ResizeMode::kLINEAR;
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#endif
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}
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nvinfer1::SampleMode sampleMode{nvinfer1::SampleMode::kFILL};
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if (padding_mode == "zeros") {
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sampleMode = nvinfer1::SampleMode::kFILL;
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} else if (padding_mode == "border") {
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sampleMode = nvinfer1::SampleMode::kCLAMP;
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} else if (padding_mode == "reflection") {
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sampleMode = nvinfer1::SampleMode::kREFLECT;
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}
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layer->setInterpolationMode(interpolationMode);
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layer->setSampleMode(sampleMode);
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layer->setAlignCorners(align_corners);
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ReplenishLayerAndOutput(layer, "grid_sampler", {output_name}, test_mode);
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#else
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VLOG(3) << "grid_sampler is not supported when TensorRT < 8.5.1";
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#endif
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}
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};
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} // namespace paddle::inference::tensorrt
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REGISTER_TRT_OP_CONVERTER(grid_sampler, GridSamplerOpConverter);
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