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- /**
- * Copyright 2020 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * 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.
- */
-
- #ifndef GE_GRAPH_PASSES_FOLDING_KERNEL_ADD_KERNEL_H_
- #define GE_GRAPH_PASSES_FOLDING_KERNEL_ADD_KERNEL_H_
-
- #include <vector>
-
- #include "inc/kernel.h"
-
- namespace ge {
- class AddKernel : public Kernel {
- public:
- Status Compute(const ge::OpDescPtr op_desc_ptr, const std::vector<ge::ConstGeTensorPtr> &input,
- std::vector<ge::GeTensorPtr> &v_output) override;
-
- private:
- Status AddCheck(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input);
-
- template <typename T>
- Status OverflowCheck(const T &x, const T &y, DataType data_type);
-
- template <typename InT>
- Status BCastAdd(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
- std::vector<GeTensorPtr> &v_output);
- };
- } // namespace ge
- #endif // GE_GRAPH_PASSES_FOLDING_KERNEL_ADD_KERNEL_H_
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