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deepin-ocr/3rdparty/ncnn/tools/pnnx/src/pass_level1/nn_PixelShuffle.cpp

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// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 "pass_level1.h"
#include "../utils.h"
namespace pnnx {
class PixelShuffle : public FuseModulePass
{
public:
const char* match_type_str() const
{
return "__torch__.torch.nn.modules.pixelshuffle.PixelShuffle";
}
const char* type_str() const
{
return "nn.PixelShuffle";
}
void write(Operator* op, const std::shared_ptr<torch::jit::Graph>& graph) const
{
const torch::jit::Node* pixel_shuffle = find_node_by_kind(graph, "aten::pixel_shuffle");
op->params["upscale_factor"] = pixel_shuffle->namedInput("upscale_factor");
}
};
REGISTER_GLOBAL_PNNX_FUSE_MODULE_PASS(PixelShuffle)
} // namespace pnnx