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https://github.com/PaddlePaddle/FastDeploy.git
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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>
74 lines
2.5 KiB
C++
74 lines
2.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle2onnx/mapper/tensor/argmax.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(arg_max, ArgMaxMapper)
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int32_t ArgMaxMapper::GetMinOpset(bool verbose) {
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if (IsAttrVar("axis") && !IsConstant(GetAttrVar("axis")[0])) {
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Error() << "While Attribute(axis)'s type is Tensor, it's not "
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"supported "
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"unless it's a constant tensor."
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<< std::endl;
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return -1;
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}
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return 7;
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}
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void ArgMaxMapper::Opset7() {
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auto input_info = parser_->GetOpInput(block_idx_, op_idx_, "X");
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auto output_info = parser_->GetOpOutput(block_idx_, op_idx_, "Out");
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auto input = input_info[0].name;
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if (flatten_) {
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input = helper_->Flatten(input_info[0].name);
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}
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// Make sure the output tensor has to be 1D-Tensor
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bool need_unsqueeze = false;
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if (flatten_ || input_info[0].shape.size() <= 1) {
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if (!keepdims_) {
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need_unsqueeze = true;
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}
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}
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if (IsAttrVar("axis")) {
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auto axis_info = GetAttrVar("axis");
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std::vector<int64_t> temp;
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TryGetValue(axis_info[0], &temp);
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axis_ = temp[0];
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} else {
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GetAttr("axis", &axis_);
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}
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if (input_info[0].dtype == P2ODataType::FP64) {
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input = helper_->AutoCast(input, P2ODataType::FP64, P2ODataType::FP32);
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}
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if (input_info[0].dtype == P2ODataType::INT64) {
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input = helper_->AutoCast(input, P2ODataType::INT64, P2ODataType::INT32);
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}
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auto arg_node = helper_->MakeNode("ArgMax", {input});
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AddAttribute(arg_node, "axis", axis_);
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AddAttribute(arg_node, "keepdims", static_cast<int64_t>(keepdims_));
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if (!need_unsqueeze) {
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helper_->AutoCast(arg_node->output(0), output_info[0].name,
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P2ODataType::INT64, output_info[0].dtype);
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} else {
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auto out = helper_->Unsqueeze(arg_node->output(0), {0});
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helper_->AutoCast(out, output_info[0].name, P2ODataType::INT64,
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output_info[0].dtype);
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}
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}
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} // namespace paddle2onnx
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