mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00

* 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>
115 lines
4.2 KiB
C++
115 lines
4.2 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/pad3d.h"
|
|
|
|
namespace paddle2onnx {
|
|
REGISTER_MAPPER(pad3d, Pad3DMapper)
|
|
|
|
int32_t Pad3DMapper::GetMinOpset(bool verbose) {
|
|
if (data_format_ == "NDHWC") {
|
|
Error() << "NDHWC format is not supported." << std::endl;
|
|
return -1;
|
|
}
|
|
if (mode_ == "circular") {
|
|
Error() << "Padding mode `circular` is not supported." << std::endl;
|
|
return -1;
|
|
}
|
|
if (HasInput("Paddings")) {
|
|
if (!IsConstantInput("Paddings")) {
|
|
Logger(verbose, 11) << "While Paddings is input and it's not a constant tensor, " << RequireOpset(11) << std::endl;
|
|
return 11;
|
|
}
|
|
std::vector<int64_t> paddings;
|
|
if (!TryGetInputValue("Paddings", &paddings)) {
|
|
Logger(verbose, 11) << "Cannot get constant value from input of Paddings, " << RequireOpset(11) << std::endl;
|
|
return 11;
|
|
} else {
|
|
if (paddings.size() != 6) {
|
|
Error() << "Size of paddings should be equal to 6, but now it's " << paddings.size() << std::endl;
|
|
return -1;
|
|
}
|
|
}
|
|
} else {
|
|
if (paddings_.size() != 6) {
|
|
Error() << "Size of paddings should be equal to 6, but now it's " << paddings_.size() << std::endl;
|
|
return -1;
|
|
}
|
|
}
|
|
return 7;
|
|
}
|
|
|
|
std::vector<int64_t> Pad3DMapper::ConvertPaddingParameter(const std::vector<int64_t>& paddings) {
|
|
std::vector<int64_t> new_paddings(10, 0);
|
|
new_paddings[2] = paddings[4];
|
|
new_paddings[3] = paddings[2];
|
|
new_paddings[4] = paddings[0];
|
|
new_paddings[7] = paddings[5];
|
|
new_paddings[8] = paddings[3];
|
|
new_paddings[9] = paddings[1];
|
|
return new_paddings;
|
|
}
|
|
|
|
void Pad3DMapper::Opset7() {
|
|
auto input_info = GetInput("X");
|
|
auto output_info = GetOutput("Out");
|
|
auto mode = mode_;
|
|
if (mode == "replicate") {
|
|
mode = "edge";
|
|
}
|
|
std::vector<int64_t> paddings;
|
|
if (HasInput("Paddings")) {
|
|
Assert(TryGetInputValue("Paddings", &paddings), "Cannot get constant value from input of Paddings, " + RequireOpset(11));
|
|
} else {
|
|
paddings.assign(paddings_.begin(), paddings_.end());
|
|
}
|
|
std::vector<int64_t> new_paddings = ConvertPaddingParameter(paddings);
|
|
auto node = helper_->MakeNode("Pad", {input_info[0].name}, {output_info[0].name});
|
|
AddAttribute(node, "mode", mode);
|
|
AddAttribute(node, "value", value_);
|
|
AddAttribute(node, "pads", new_paddings);
|
|
}
|
|
|
|
void Pad3DMapper::Opset11() {
|
|
auto input_info = GetInput("X");
|
|
auto output_info = GetOutput("Out");
|
|
auto mode = mode_;
|
|
if (mode == "replicate") {
|
|
mode = "edge";
|
|
}
|
|
|
|
std::string paddings = "";
|
|
if (HasInput("Paddings")) {
|
|
std::vector<int64_t> paddings_value;
|
|
if (TryGetInputValue("Paddings", &paddings_value)) {
|
|
std::vector<int64_t> new_paddings = ConvertPaddingParameter(paddings_value);
|
|
paddings = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64, new_paddings);
|
|
} else {
|
|
auto pad_info = GetInput("Paddings");
|
|
auto cast_pad = helper_->AutoCast(pad_info[0].name, pad_info[0].dtype, P2ODataType::INT64);
|
|
auto split_pads = helper_->Split(cast_pad, std::vector<int64_t>(6, 1), 0);
|
|
auto zero = helper_->Constant({1}, ONNX_NAMESPACE::TensorProto::INT64, int64_t(0));
|
|
paddings = helper_->Concat({zero, zero, split_pads[4], split_pads[2], split_pads[0], zero, zero, split_pads[5], split_pads[3], split_pads[1]}, 0);
|
|
}
|
|
} else {
|
|
std::vector<int64_t> new_paddings = ConvertPaddingParameter(paddings_);
|
|
paddings = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64, new_paddings);
|
|
}
|
|
auto value = helper_->Constant({}, GetOnnxDtype(input_info[0].dtype), value_);
|
|
auto node = helper_->MakeNode("Pad", {input_info[0].name, paddings, value}, {output_info[0].name});
|
|
AddAttribute(node, "mode", mode);
|
|
}
|
|
|
|
} // namespace paddle2onnx
|