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>
86 lines
2.8 KiB
C++
86 lines
2.8 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/tensor/gather.h"
|
|
|
|
namespace paddle2onnx {
|
|
REGISTER_MAPPER(gather, GatherMapper)
|
|
|
|
int32_t GatherMapper::GetMinOpset(bool verbose) {
|
|
if (HasInput("Axis")) {
|
|
if (!IsConstantInput("Axis")) {
|
|
Error() << "Parameter axis as input tensor is not supported."
|
|
<< std::endl;
|
|
return -1;
|
|
}
|
|
}
|
|
auto index_info = GetInput("Index");
|
|
if (index_info[0].shape.size() > 1) {
|
|
Logger(verbose, 11) << "While rank of index > 1, " << RequireOpset(11)
|
|
<< std::endl;
|
|
return 11;
|
|
}
|
|
return 7;
|
|
}
|
|
|
|
void GatherMapper::Opset7() {
|
|
auto x_info = GetInput("X");
|
|
auto index_info = GetInput("Index");
|
|
auto out_info = GetOutput("Out");
|
|
|
|
bool has_input_axis = HasInput("Axis");
|
|
auto axis = axis_;
|
|
if (has_input_axis) {
|
|
std::vector<int64_t> axes;
|
|
Assert(TryGetInputValue("Axis", &axes),
|
|
"Paddle2ONNX does not support axis as input tensor for operator: "
|
|
"gather.");
|
|
axis = axes[0];
|
|
}
|
|
Assert(index_info[0].shape.size() == 1,
|
|
"Paddle2ONNX: While rank of index > 1, opset must >= 11 for operator: "
|
|
"gather.");
|
|
auto node = helper_->MakeNode("Gather", {x_info[0].name, index_info[0].name},
|
|
{out_info[0].name});
|
|
AddAttribute(node, "axis", axis);
|
|
}
|
|
|
|
void GatherMapper::Opset11() {
|
|
auto x_info = GetInput("X");
|
|
auto index_info = GetInput("Index");
|
|
auto out_info = GetOutput("Out");
|
|
|
|
bool has_input_axis = HasInput("Axis");
|
|
auto axis = axis_;
|
|
if (has_input_axis) {
|
|
std::vector<int64_t> axes;
|
|
Assert(TryGetInputValue("Axis", &axes),
|
|
"Paddle2ONNX does not support axis as input tensor for operator: "
|
|
"gather.");
|
|
axis = axes[0];
|
|
}
|
|
if (index_info[0].shape.size() == 1) {
|
|
auto node = helper_->MakeNode(
|
|
"Gather", {x_info[0].name, index_info[0].name}, {out_info[0].name});
|
|
AddAttribute(node, "axis", axis);
|
|
} else {
|
|
auto index = helper_->AutoCast(index_info[0].name, index_info[0].dtype,
|
|
P2ODataType::INT64);
|
|
helper_->MakeNode("GatherND", {x_info[0].name, index_info[0].name},
|
|
{out_info[0].name});
|
|
}
|
|
}
|
|
|
|
} // namespace paddle2onnx
|