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* 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>
42 lines
1.6 KiB
C++
42 lines
1.6 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 "paddle2onnx/mapper/tensor/grid_sampler.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(grid_sampler, GridSamplerMapper)
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int32_t GridSamplerMapper::GetMinOpset(bool verbose) {
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Logger(verbose, 16) << RequireOpset(16) << std::endl;
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return 16;
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};
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void GridSamplerMapper::Opset16() {
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auto x_info = GetInput("X");
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auto grid_info = GetInput("Grid");
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auto out_info = GetOutput("Output");
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std::string cast_input =
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helper_->AutoCast(x_info[0].name, x_info[0].dtype, P2ODataType::FP32);
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std::string cast_grid = helper_->AutoCast(
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grid_info[0].name, grid_info[0].dtype, P2ODataType::FP32);
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auto node = helper_->MakeNode("GridSample", {cast_input, cast_grid});
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AddAttribute(node, "padding_mode", padding_mode_);
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AddAttribute(node, "mode", mode_);
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AddAttribute(node, "align_corners", static_cast<int64_t>(align_corners_));
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helper_->AutoCast(node->output(0), out_info[0].name, P2ODataType::FP32,
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out_info[0].dtype);
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}
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} // namespace paddle2onnx
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