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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>
67 lines
2.5 KiB
C++
Executable File
67 lines
2.5 KiB
C++
Executable File
// 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/nn/conv2d_transpose.h"
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#include <string>
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#include <vector>
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namespace paddle2onnx {
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REGISTER_MAPPER(conv2d_transpose, Conv2dTransposeMapper)
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REGISTER_MAPPER(depthwise_conv2d_transpose, Conv2dTransposeMapper)
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int32_t Conv2dTransposeMapper::GetMinOpset(bool verbose) {
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// NHWC is not supported
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if (data_format_ == "NHWC") {
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Error() << "[ERROR] Cannot support NHWC format for operator "
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"conv2d_transpose/depthwise_conv2d_transpose."
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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 Conv2dTransposeMapper::Opset7() {
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auto kernel_info = GetInput("Filter");
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auto input_info = GetInput("Input");
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auto output_info = GetOutput("Output");
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auto input = helper_->AutoCast(input_info[0].name, input_info[0].dtype,
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P2ODataType::FP32);
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auto kernel = helper_->AutoCast(kernel_info[0].name, kernel_info[0].dtype,
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P2ODataType::FP32);
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auto node = helper_->MakeNode("ConvTranspose", {input, kernel});
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AddAttribute(node, "dilations", dilations_);
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std::vector<int64_t> kernel_shape = {kernel_info[0].shape[2],
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kernel_info[0].shape[3]};
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AddAttribute(node, "kernel_shape", kernel_shape);
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AddAttribute(node, "strides", strides_);
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AddAttribute(node, "group", groups_);
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if (padding_algorithm_ == "SAME") {
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std::string auto_pad = "SAME_UPPER";
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AddAttribute(node, "auto_pad", auto_pad);
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} else if (padding_algorithm_ == "VALID") {
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std::string auto_pad = "VALID";
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AddAttribute(node, "auto_pad", auto_pad);
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} else {
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AddAttribute(node, "pads", paddings_);
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}
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if (output_padding_.size() > 0) {
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AddAttribute(node, "output_padding", output_padding_);
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}
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helper_->AutoCast(node->output(0), output_info[0].name, P2ODataType::FP32,
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output_info[0].dtype);
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}
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} // namespace paddle2onnx
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