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Diffstat (limited to 'runtime/neurun/backend/cpu/kernel/LogisticLayer.cc')
-rw-r--r-- | runtime/neurun/backend/cpu/kernel/LogisticLayer.cc | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/runtime/neurun/backend/cpu/kernel/LogisticLayer.cc b/runtime/neurun/backend/cpu/kernel/LogisticLayer.cc new file mode 100644 index 000000000..d9916964e --- /dev/null +++ b/runtime/neurun/backend/cpu/kernel/LogisticLayer.cc @@ -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. + */ + +#include "LogisticLayer.h" + +#include <cker/operation/Logistic.h> + +#include "OperationUtils.h" + +namespace neurun +{ +namespace backend +{ +namespace cpu +{ +namespace kernel +{ + +LogisticLayer::LogisticLayer() + : _inputData(), _outputData(), _inputDescr(), _outputDescr(), _inputType(OperandType::FLOAT32) +{ + // DO NOTHING +} + +void LogisticLayer::logisticFloat32() +{ + nnfw::cker::Logistic(convertTensorDescriptorToCkerShape(_inputDescr), _inputData.f, + convertTensorDescriptorToCkerShape(_outputDescr), _outputData.f); +} + +void LogisticLayer::logisticQuant8() +{ + // cker quant8 logistic is not implemented yet + throw std::runtime_error{"NYI"}; +} + +void LogisticLayer::configure(uint8_t *inputData, const TensorDescriptor &inputDescr, + uint8_t *outputData, const TensorDescriptor &outputDescr) +{ + _inputData.u8 = inputData; + _inputDescr = inputDescr; + _inputType = inputDescr.type; + _outputData.u8 = outputData; + _outputDescr = outputDescr; +} + +void LogisticLayer::run() +{ + if (_inputType == OperandType::FLOAT32) + { + logisticFloat32(); + } + else if (_inputType == OperandType::QUANT8_ASYMM) + { + logisticQuant8(); + } +} + +} // namespace kernel +} // namespace cpu +} // namespace backend +} // namespace neurun |