deepin-ocr/3rdparty/ncnn/tools/mlir/ncnn_dialect.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

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1.2 KiB
C++

// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 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 "ncnn_dialect.h"
#include <mlir/IR/Builders.h>
namespace mlir {
namespace ncnn {
NCNNDialect::NCNNDialect(mlir::MLIRContext* context)
: mlir::Dialect("ncnn", context, TypeID::get<NCNNDialect>())
{
addOperations<
#define GET_OP_LIST
#include "ncnn_ops.cc.inc"
>();
// Support unknown operations because not all NCNN operations are
// registered.
allowUnknownOperations();
}
} // namespace ncnn
#define GET_OP_CLASSES
#include "ncnn_ops.cc.inc"
} // namespace mlir