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/*
* 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 "Convert.h"
namespace tflchef
{
tflchef::TensorType as_tflchef_type(const tflite::TensorType type)
{
switch (type)
{
case tflite::TensorType_FLOAT32:
return tflchef::FLOAT32;
case tflite::TensorType_INT32:
return tflchef::INT32;
case tflite::TensorType_INT64:
return tflchef::INT64;
case tflite::TensorType_UINT8:
return tflchef::UINT8;
case tflite::TensorType_BOOL:
return tflchef::BOOL;
case tflite::TensorType_INT16:
return tflchef::INT16;
case tflite::TensorType_FLOAT16:
return tflchef::FLOAT16;
// TODO handle other types
// TensorType_STRING
// TensorType_COMPLEX64
default:
throw std::runtime_error{"unsupported tensor type"};
}
}
tflchef::Activation as_tflchef_activation(const tflite::ActivationFunctionType type)
{
switch (type)
{
case tflite::ActivationFunctionType_NONE:
return tflchef::NONE;
case tflite::ActivationFunctionType_RELU:
return tflchef::RELU;
case tflite::ActivationFunctionType_RELU_N1_TO_1:
return tflchef::RELU_N1_TO_1;
case tflite::ActivationFunctionType_RELU6:
return tflchef::RELU6;
case tflite::ActivationFunctionType_TANH:
return tflchef::TANH;
case tflite::ActivationFunctionType_SIGN_BIT:
return tflchef::SIGN_BIT;
default:
throw std::runtime_error{"unsupported activation type"};
}
}
tflchef::Padding as_tflchef_padding(const tflite::Padding padding)
{
switch (padding)
{
case tflite::Padding_SAME:
return tflchef::SAME;
case tflite::Padding_VALID:
return tflchef::VALID;
default:
throw std::runtime_error{"unsupported padding"};
}
}
tflchef::MirrorPadMode as_tflchef_mirrorpadmode(const tflite::MirrorPadMode mode)
{
switch (mode)
{
case tflite::MirrorPadMode_REFLECT:
return tflchef::REFLECT;
case tflite::MirrorPadMode_SYMMETRIC:
return tflchef::SYMMETRIC;
default:
throw std::runtime_error{"Unknown mirrorpad mode"};
}
}
tflchef::DimensionType as_tflchef_sparse_dim_type(const tflite::DimensionType type)
{
switch (type)
{
case tflite::DimensionType_DENSE:
return tflchef::DimensionType::DENSE;
case tflite::DimensionType_SPARSE_CSR:
return tflchef::DimensionType::SPARSE_CSR;
default:
throw std::runtime_error("unsupported sparse dimension type");
}
}
tflchef::SparseIndexVecType as_tflchef_sparse_idx_vec_type(const tflite::SparseIndexVector type)
{
switch (type)
{
case tflite::SparseIndexVector_NONE:
return tflchef::SparseIndexVecType::SparseIdxVecType_NONE;
case tflite::SparseIndexVector_Int32Vector:
return tflchef::SparseIndexVecType::INT32VEC;
case tflite::SparseIndexVector_Uint16Vector:
return tflchef::SparseIndexVecType::UINT16VEC;
case tflite::SparseIndexVector_Uint8Vector:
return tflchef::SparseIndexVecType::UINT8VEC;
default:
throw std::runtime_error("unsupported sparse index vector type");
}
}
} // namespace tflchef
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