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/*
* 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 "NNAPIConvert.h"
#include <numeric>
using namespace neurun::ir;
DataType NNAPIConvert::getDataType(OperandCode type)
{
switch (type)
{
case ANEURALNETWORKS_FLOAT32:
case ANEURALNETWORKS_TENSOR_FLOAT32:
return DataType::FLOAT32;
case ANEURALNETWORKS_INT32:
case ANEURALNETWORKS_TENSOR_INT32:
return DataType::INT32;
case ANEURALNETWORKS_UINT32:
return DataType::UINT32;
case ANEURALNETWORKS_TENSOR_QUANT8_ASYMM:
return DataType::QUANT8_ASYMM;
case ANEURALNETWORKS_TENSOR_QUANT8_SYMM:
return DataType::QUANT8_SYMM;
case ANEURALNETWORKS_BOOL:
case ANEURALNETWORKS_TENSOR_BOOL8:
return DataType::BOOL8;
default:
throw std::runtime_error("Unsupported type");
}
}
TypeInfo NNAPIConvert::getTypeInfo(const ANeuralNetworksOperandType *type)
{
return TypeInfo(getDataType((OperandCode)(type->type)), type->scale, type->zeroPoint);
}
Shape NNAPIConvert::getShape(const ANeuralNetworksOperandType *type)
{
Shape shape(type->dimensionCount);
for (uint32_t axis = 0; axis < type->dimensionCount; ++axis)
{
shape.dim(axis) = type->dimensions[axis];
}
return shape;
}
size_t NNAPIConvert::calculateSizeFromType(const ANeuralNetworksOperandType *type)
{
auto shape = getShape(type);
auto data_type = getDataType((OperandCode)(type->type));
return shape.num_elements() * sizeOfDataType(data_type);
}
Activation NNAPIConvert::getFusedActivation(FuseCode act)
{
switch (act)
{
case ANEURALNETWORKS_FUSED_NONE:
return Activation::NONE;
case ANEURALNETWORKS_FUSED_RELU:
return Activation::RELU;
case ANEURALNETWORKS_FUSED_RELU1:
return Activation::RELU1;
case ANEURALNETWORKS_FUSED_RELU6:
return Activation::RELU6;
default:
throw std::runtime_error("Unsupported activation type");
}
}
PaddingType NNAPIConvert::getPaddingType(PaddingCode type)
{
switch (type)
{
case ANEURALNETWORKS_PADDING_SAME:
return PaddingType::SAME;
case ANEURALNETWORKS_PADDING_VALID:
return PaddingType::VALID;
default:
throw std::runtime_error("Unsupported type");
}
}
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