Files
FastDeploy/paddle2onnx/mapper/tensor/grid_sampler.cc
Jason 6343b0db47 [Build] Support build with source code of Paddle2ONNX (#1559)
* Add notes for tensors

* Optimize some apis

* move some warnings

* Support build with Paddle2ONNX

* Add protobuf support

* Fix compile on mac

* add clearn package script

* Add paddle2onnx code

* remove submodule

* Add onnx ocde

* remove softlink

* add onnx code

* fix error

* Add cmake file

* fix patchelf

* update paddle2onnx

* Delete .gitmodules

---------

Co-authored-by: PaddleCI <paddle_ci@example.com>
Co-authored-by: pangyoki <pangyoki@126.com>
Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
2023-03-17 10:03:22 +08:00

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1.6 KiB
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle2onnx/mapper/tensor/grid_sampler.h"
namespace paddle2onnx {
REGISTER_MAPPER(grid_sampler, GridSamplerMapper)
int32_t GridSamplerMapper::GetMinOpset(bool verbose) {
Logger(verbose, 16) << RequireOpset(16) << std::endl;
return 16;
};
void GridSamplerMapper::Opset16() {
auto x_info = GetInput("X");
auto grid_info = GetInput("Grid");
auto out_info = GetOutput("Output");
std::string cast_input =
helper_->AutoCast(x_info[0].name, x_info[0].dtype, P2ODataType::FP32);
std::string cast_grid = helper_->AutoCast(
grid_info[0].name, grid_info[0].dtype, P2ODataType::FP32);
auto node = helper_->MakeNode("GridSample", {cast_input, cast_grid});
AddAttribute(node, "padding_mode", padding_mode_);
AddAttribute(node, "mode", mode_);
AddAttribute(node, "align_corners", static_cast<int64_t>(align_corners_));
helper_->AutoCast(node->output(0), out_info[0].name, P2ODataType::FP32,
out_info[0].dtype);
}
} // namespace paddle2onnx