Files
FastDeploy/paddle2onnx/mapper/tensor/gather.cc
Jason 6343b0db47 [Build] Support build with source code of Paddle2ONNX (#1559)
* 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>
2023-03-17 10:03:22 +08:00

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