mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
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>
73 lines
2.3 KiB
C++
73 lines
2.3 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/concat.h"
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
namespace paddle2onnx {
|
|
REGISTER_MAPPER(concat, ConcatMapper)
|
|
|
|
int32_t ConcatMapper::GetMinOpset(bool verbose) {
|
|
if (HasInput("AxisTensor") && !IsConstantInput("AxisTensor")) {
|
|
Error() << "While AxisTensor as input exists, it's not supported unless "
|
|
"it's a constant tensor."
|
|
<< std::endl;
|
|
return -1;
|
|
} else if (IsAttrVar("axis") && !IsConstant(GetAttrVar("axis")[0])) {
|
|
Error() << "While Attribute(axis)'s type is Tensor, it's not supported "
|
|
"unless it's a constant tensor."
|
|
<< std::endl;
|
|
return -1;
|
|
}
|
|
return 7;
|
|
}
|
|
|
|
void ConcatMapper::Opset7() {
|
|
auto input_info = GetInput("X");
|
|
auto output_info = GetOutput("Out");
|
|
|
|
int32_t casted_dtype;
|
|
std::vector<std::string> casted_names =
|
|
helper_->DtypeAlignment(input_info, &casted_dtype);
|
|
|
|
auto parse_axis_value = [&](const TensorInfo& tensor_info, int64_t& axis) {
|
|
std::vector<int64_t> value;
|
|
TryGetValue(tensor_info, &value);
|
|
axis = value[0];
|
|
};
|
|
|
|
bool has_axis_tensor_input = HasInput("AxisTensor");
|
|
|
|
int64_t axis = axis_;
|
|
// NOTE(Aurelius84): we need to deprecate this branch in the future.
|
|
if (has_axis_tensor_input) {
|
|
auto info = GetInput("AxisTensor");
|
|
parse_axis_value(info[0], axis);
|
|
} else if (IsAttrVar("axis")) {
|
|
auto info = GetAttrVar("axis");
|
|
parse_axis_value(info[0], axis);
|
|
}
|
|
if (axis < 0) {
|
|
axis = axis + input_info[0].Rank();
|
|
}
|
|
auto node = helper_->MakeNode("Concat", casted_names);
|
|
AddAttribute(node, "axis", axis);
|
|
helper_->AutoCast(node->output(0), output_info[0].name, casted_dtype,
|
|
output_info[0].dtype);
|
|
}
|
|
|
|
} // namespace paddle2onnx
|