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Diffstat (limited to 'runtime/neurun/backend/cpu/kernel/PadLayer.h')
-rw-r--r-- | runtime/neurun/backend/cpu/kernel/PadLayer.h | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/runtime/neurun/backend/cpu/kernel/PadLayer.h b/runtime/neurun/backend/cpu/kernel/PadLayer.h new file mode 100644 index 000000000..f4413a8ed --- /dev/null +++ b/runtime/neurun/backend/cpu/kernel/PadLayer.h @@ -0,0 +1,75 @@ +/* + * 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 __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__ +#define __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__ + +#include <exec/IFunction.h> + +#include "OperationUtils.h" + +namespace neurun +{ +namespace backend +{ +namespace cpu +{ +namespace kernel +{ + +// Note, this is pad with mode=`CONSTANT`: it doesn't support `REFLECT` and `SYMMETRIC` +class PadLayer : public ::neurun::exec::IFunction +{ +public: + PadLayer(); + +public: + void padFloat32(); + + void padQuant8(); + + void configure(uint8_t *inputData, const TensorDescriptor inputDescr, uint8_t *outputData, + const TensorDescriptor outputDescr, const int32_t *padData, int32_t padRank, + uint8_t *constantValueData = nullptr); + + void run(); + void runSync() + { + // this abstract method is used just for profiling and called for + // backend::acl_common::AclFunction + run(); + } + +private: + DataPtr _inputData; + DataPtr _outputData; + + TensorDescriptor _inputDescr; + TensorDescriptor _outputDescr; + + const int32_t *_padData; + int32_t _padRank; + DataPtr _constantValueData; + + OperandType _inputType; +}; + +} // namespace kernel +} // namespace cpu +} // namespace backend +} // namespace neurun + +#endif // __NEURUN_BACKEND_CPU_KERNEL_PADLAYER_H__ |