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6343b0db47
* 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>
67 lines
2.2 KiB
C++
67 lines
2.2 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/nn/dropout.h"
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#include <vector>
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namespace paddle2onnx {
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REGISTER_MAPPER(dropout, DropoutMapper)
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int32_t DropoutMapper::GetMinOpset(bool verbose) {
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if (dropout_implementation_ != "downgrade_in_infer" &&
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dropout_implementation_ != "upscale_in_train") {
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Error() << "Drop out type: " << dropout_implementation_
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<< " is not supported yet." << std::endl;
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return -1;
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}
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if (dropout_implementation_ == "downgrade_in_infer") {
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if (IsAttrVar("dropout_prob") &&
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!IsConstant(GetAttrVar("dropout_prob")[0])) {
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Error() << "While Attribute(dropout_prob)'s type is Tensor, it's not "
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"supported "
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"unless it's a constant tensor when dropout_implementation is "
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"downgrade_in_infer."
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<< std::endl;
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return -1;
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}
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}
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return 7;
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}
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void DropoutMapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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if (dropout_implementation_ == "upscale_in_train") {
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helper_->MakeNode("Identity", {input_info[0].name}, {output_info[0].name});
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} else {
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if (IsAttrVar("dropout_prob")) {
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auto prob_info = GetAttrVar("dropout_prob");
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std::vector<float> temp;
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TryGetValue(prob_info[0], &temp);
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dropout_prob_ = temp[0];
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} else {
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GetAttr("dropout_prob", &dropout_prob_);
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}
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std::vector<float> value = {1 - dropout_prob_};
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std::string scale_node =
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helper_->Constant(GetOnnxDtype(input_info[0].dtype), value);
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helper_->MakeNode("Mul", {input_info[0].name, scale_node},
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{output_info[0].name});
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}
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}
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} // namespace paddle2onnx
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