diff options
Diffstat (limited to 'runtime/onert/backend/cpu/kernel/AddLayer.h')
-rw-r--r-- | runtime/onert/backend/cpu/kernel/AddLayer.h | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/AddLayer.h b/runtime/onert/backend/cpu/kernel/AddLayer.h new file mode 100644 index 000000000..657decc72 --- /dev/null +++ b/runtime/onert/backend/cpu/kernel/AddLayer.h @@ -0,0 +1,71 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * + * 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 __ONERT_BACKEND_CPU_KERNEL_ADDLAYER_H__ +#define __ONERT_BACKEND_CPU_KERNEL_ADDLAYER_H__ + +#include "../operand/Tensor.h" +#include "OperationUtils.h" + +#include <exec/IFunction.h> + +namespace onert +{ +namespace backend +{ +namespace cpu +{ +namespace kernel +{ + +class AddLayer : public ::onert::exec::IFunction +{ +public: + AddLayer() : _lhs(nullptr), _rhs(nullptr), _output(nullptr) + { + // DO NOTHING + } + +public: + void addFloat32(); + + void addQuant8(); + + void configure(const operand::Tensor *lhs, const operand::Tensor *rhs, + const ir::Activation activation, operand::Tensor *output); + + void run(); + void runSync() + { + // this abstract method is used just for profiling and called for + // backend::acl_common::AclFunction + run(); + } + +private: + const operand::Tensor *_lhs; + const operand::Tensor *_rhs; + operand::Tensor *_output; + + ir::Activation _activation{ir::Activation::NONE}; +}; + +} // namespace kernel +} // namespace cpu +} // namespace backend +} // namespace onert + +#endif // __ONERT_BACKEND_CPU_KERNEL_ADDLAYER_H__ |