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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"
#include <stdexcept>
tflite::Padding as_tflite_padding(const tflchef::Padding &value)
{
switch (value)
{
case tflchef::SAME:
return tflite::Padding_SAME;
case tflchef::VALID:
return tflite::Padding_VALID;
default:
break;
}
throw std::runtime_error{"Unknown padding value"};
}
tflite::ActivationFunctionType as_tflite_activation(const tflchef::Activation &value)
{
switch (value)
{
case tflchef::NONE:
return tflite::ActivationFunctionType_NONE;
case tflchef::RELU:
return tflite::ActivationFunctionType_RELU;
case tflchef::RELU_N1_TO_1:
return tflite::ActivationFunctionType_RELU_N1_TO_1;
case tflchef::RELU6:
return tflite::ActivationFunctionType_RELU6;
case tflchef::TANH:
return tflite::ActivationFunctionType_TANH;
case tflchef::SIGN_BIT:
return tflite::ActivationFunctionType_SIGN_BIT;
default:
break;
}
throw std::runtime_error{"Unknown activation"};
}
tflite::TensorType as_tflite_tensortype(const tflchef::TensorType &value)
{
switch (value)
{
case tflchef::FLOAT32:
return tflite::TensorType_FLOAT32;
case tflchef::INT32:
return tflite::TensorType_INT32;
case tflchef::UINT8:
return tflite::TensorType_UINT8;
case tflchef::INT64:
return tflite::TensorType_INT64;
case tflchef::BOOL:
return tflite::TensorType_BOOL;
default:
break;
}
throw std::runtime_error{"Unknown tensor type"};
}
tflite::MirrorPadMode as_tflite_mirrorpadmode(const tflchef::MirrorPadMode &value)
{
switch (value)
{
case tflchef::REFLECT:
return tflite::MirrorPadMode_REFLECT;
case tflchef::SYMMETRIC:
return tflite::MirrorPadMode_SYMMETRIC;
default:
break;
}
throw std::runtime_error{"Unknown mirrorpad mode"};
}
tflite::DimensionType as_tflite_dimensiontype(const tflchef::DimensionType &value)
{
switch (value)
{
case tflchef::DimensionType::DENSE:
return tflite::DimensionType_DENSE;
case tflchef::DimensionType::SPARSE_CSR:
return tflite::DimensionType_SPARSE_CSR;
default:
break;
}
throw std::runtime_error("Unknown dimension type");
}
tflite::SparseIndexVector as_tflite_sparse_idx_vec_type(const tflchef::SparseIndexVecType &value)
{
switch (value)
{
case tflchef::SparseIndexVecType::SparseIdxVecType_NONE:
return tflite::SparseIndexVector_NONE;
case tflchef::SparseIndexVecType::INT32VEC:
return tflite::SparseIndexVector_Int32Vector;
case tflchef::SparseIndexVecType::UINT16VEC:
return tflite::SparseIndexVector_Uint16Vector;
case tflchef::SparseIndexVecType::UINT8VEC:
return tflite::SparseIndexVector_Uint8Vector;
default:
break;
}
throw std::runtime_error("Unknown SparseIndexVector type");
}
flatbuffers::Offset<void>
as_tflite_sparse_index_vec(flatbuffers::FlatBufferBuilder &fb,
const ::tflchef::TensorSparsity_IndexVec &value)
{
auto sparse_idx_type = value.type();
switch (sparse_idx_type)
{
case tflchef::SparseIndexVecType::SparseIdxVecType_NONE:
return flatbuffers::Offset<void>();
case tflchef::SparseIndexVecType::INT32VEC:
{
auto values_vec_int32 = std::vector<int32_t>{value.dim().begin(), value.dim().end()};
auto values_int32 = fb.CreateVector(values_vec_int32);
return tflite::CreateInt32Vector(fb, values_int32).Union();
}
case tflchef::SparseIndexVecType::UINT16VEC:
{
auto values_vec_uint16 = std::vector<uint16_t>{value.dim().begin(), value.dim().end()};
auto values_uint16 = fb.CreateVector(values_vec_uint16);
return tflite::CreateUint16Vector(fb, values_uint16).Union();
}
case tflchef::SparseIndexVecType::UINT8VEC:
{
auto values_vec_uint8 = std::vector<uint8_t>{value.dim().begin(), value.dim().end()};
auto values_uint8 = fb.CreateVector(values_vec_uint8);
return tflite::CreateUint8Vector(fb, values_uint8).Union();
}
default:
break;
}
throw std::runtime_error("Unknown SparseIndexVector type");
}
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