Files
FastDeploy/paddle2onnx/mapper/nn/dropout.cc
Jason f413e0263b [Bug] Fix build error (#2112)
Fix build paddle2onnx error
2023-07-17 10:49:50 +08:00

66 lines
2.2 KiB
C++

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