718c41634f
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
48 lines
1.3 KiB
C++
48 lines
1.3 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#ifndef NCNN_DIALECT_H
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#define NCNN_DIALECT_H
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#include <mlir/IR/BuiltinTypes.h>
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#include <mlir/IR/Dialect.h>
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#include <mlir/Interfaces/SideEffectInterfaces.h>
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#include <mlir/Pass/Pass.h>
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namespace mlir {
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namespace ncnn {
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class NCNNDialect : public mlir::Dialect
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{
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public:
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NCNNDialect(mlir::MLIRContext* context);
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static StringRef getDialectNamespace()
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{
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return "ncnn";
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}
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};
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std::unique_ptr<OperationPass<FuncOp> > createNCNNOptimizePass();
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} // namespace ncnn
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#define GET_OP_CLASSES
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#include "ncnn_ops.h.inc"
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} // namespace mlir
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#endif // NCNN_DIALECT_H
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