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Diffstat (limited to 'runtimes/neurun/src/kernel/cpu/MaxPoolLayer.cc')
-rw-r--r-- | runtimes/neurun/src/kernel/cpu/MaxPoolLayer.cc | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/runtimes/neurun/src/kernel/cpu/MaxPoolLayer.cc b/runtimes/neurun/src/kernel/cpu/MaxPoolLayer.cc new file mode 100644 index 000000000..3d96bb401 --- /dev/null +++ b/runtimes/neurun/src/kernel/cpu/MaxPoolLayer.cc @@ -0,0 +1,118 @@ +/* + * Copyright (c) 2018 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 "MaxPoolLayer.h" + +#include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h" +#include "kernel/cpu/OperationUtils.h" + +namespace neurun +{ +namespace kernel +{ +namespace cpu +{ + +#define MAXPOOLING_PARAMETERS \ + uint32_t height = getSizeOfDimension(_inputShape, 1); \ + uint32_t width = getSizeOfDimension(_inputShape, 2); \ + uint32_t outHeight = getSizeOfDimension(_outputShape, 1); \ + uint32_t outWidth = getSizeOfDimension(_outputShape, 2); \ + \ + uint32_t paddingHeight = (uint32_t)_paddingTop; \ + uint32_t paddingWidth = (uint32_t)_paddingLeft; + +MaxPoolLayer::MaxPoolLayer() + : _inputData(nullptr), _outputData(nullptr), _inputShape(), _outputShape(), _paddingLeft(0), + _paddingTop(0), _paddingRight(0), _paddingBottom(0), _strideWidth(0), _strideHeight(0), + _kernelWidth(0), _kernelHeight(0), _activation(ANEURALNETWORKS_FUSED_NONE), + _inputType(OperandType::SCALAR_FLOAT32) +{ + // DO NOTHING +} + +bool MaxPoolLayer::maxPoolFloat32() +{ + + MAXPOOLING_PARAMETERS + float output_activation_min, output_activation_max; + CalculateActivationRangeFloat(_activation, &output_activation_min, &output_activation_max); + + ::tflite::optimized_ops::MaxPool( + reinterpret_cast<const float *>(_inputData), convertShapeToDims(_inputShape), _strideWidth, + _strideHeight, paddingWidth, paddingHeight, _kernelWidth, _kernelHeight, + output_activation_min, output_activation_max, reinterpret_cast<float *>(_outputData), + convertShapeToDims(_outputShape)); + return true; +} +bool MaxPoolLayer::maxPoolQuant8() +{ + + MAXPOOLING_PARAMETERS + int32_t output_activation_min = 0; + int32_t output_activation_max = 0; + CalculateActivationRangeUint8(_activation, _outputShape, &output_activation_min, + &output_activation_max); + + ::tflite::optimized_ops::MaxPool(_inputData, convertShapeToDims(_inputShape), _strideWidth, + _strideHeight, paddingWidth, paddingHeight, _kernelWidth, + _kernelHeight, output_activation_min, output_activation_max, + _outputData, convertShapeToDims(_outputShape)); + return true; +} + +void MaxPoolLayer::configure(uint8_t *inputData, const Shape inputShape, const uint32_t paddingLeft, + const uint32_t paddingRight, const uint32_t paddingTop, + const uint32_t paddingBottom, const uint32_t strideWidth, + const uint32_t strideHeight, const uint32_t kernelWidth, + const uint32_t kernelHeight, const FuseCode activation, + uint8_t *outputData, const Shape outputShape) +{ + _inputData = inputData; + + _inputShape = inputShape; + _inputType = inputShape.type; + _paddingLeft = paddingLeft; + _paddingRight = paddingRight; + _paddingTop = paddingTop; + _paddingBottom = paddingBottom; + _strideWidth = strideWidth; + _strideHeight = strideHeight; + _kernelWidth = kernelWidth; + _kernelHeight = kernelHeight; + _activation = activation; + _outputData = outputData; + _outputShape = outputShape; +} + +void MaxPoolLayer::run() +{ + if (_inputType == OperandType::TENSOR_FLOAT32) + { + maxPoolFloat32(); + } + else if (_inputType == OperandType::TENSOR_QUANT8_ASYMM) + { + throw std::runtime_error{"MaxPoolLayer : Not tested for TENSOR_QUANT8_ASYMM"}; + // maxPoolQuant8(); + } +} + +#undef MAXPOOLING_PARAMETERS + +} // namespace cpu +} // namespace kernel +} // namespace neurun |