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/*
* Copyright (c) 2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "src/common/utils/LegacySupport.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
namespace arm_compute
{
namespace detail
{
namespace
{
DataType convert_to_legacy_data_type(AclDataType data_type)
{
switch (data_type)
{
case AclDataType::AclFloat32:
return DataType::F32;
case AclDataType::AclFloat16:
return DataType::F16;
case AclDataType::AclBFloat16:
return DataType::BFLOAT16;
default:
return DataType::UNKNOWN;
}
}
AclDataType convert_to_c_data_type(DataType data_type)
{
switch (data_type)
{
case DataType::F32:
return AclDataType::AclFloat32;
case DataType::F16:
return AclDataType::AclFloat16;
case DataType::BFLOAT16:
return AclDataType::AclBFloat16;
default:
return AclDataType::AclDataTypeUnknown;
}
}
TensorShape create_legacy_tensor_shape(int32_t ndims, int32_t *shape)
{
TensorShape legacy_shape{};
for (int32_t d = 0; d < ndims; ++d)
{
legacy_shape.set(d, shape[d], false);
}
return legacy_shape;
}
int32_t *create_tensor_shape_array(const TensorInfo &info)
{
const auto num_dims = info.num_dimensions();
if (num_dims <= 0)
{
return nullptr;
}
int32_t *shape_array = new int32_t[num_dims];
for (size_t d = 0; d < num_dims; ++d)
{
shape_array[d] = info.tensor_shape()[d];
}
return shape_array;
}
} // namespace
TensorInfo convert_to_legacy_tensor_info(const AclTensorDescriptor &desc)
{
TensorInfo legacy_desc;
legacy_desc.init(create_legacy_tensor_shape(desc.ndims, desc.shape), 1,
convert_to_legacy_data_type(desc.data_type));
return legacy_desc;
}
AclTensorDescriptor convert_to_descriptor(const TensorInfo &info)
{
const auto num_dims = info.num_dimensions();
AclTensorDescriptor desc{static_cast<int32_t>(num_dims), create_tensor_shape_array(info),
convert_to_c_data_type(info.data_type()), nullptr, 0};
return desc;
}
ActivationLayerInfo convert_to_activation_info(const AclActivationDescriptor &desc)
{
ActivationLayerInfo::ActivationFunction act;
switch (desc.type)
{
case AclActivationType::AclIdentity:
act = ActivationLayerInfo::ActivationFunction::IDENTITY;
break;
case AclActivationType::AclLogistic:
act = ActivationLayerInfo::ActivationFunction::LOGISTIC;
break;
case AclActivationType::AclTanh:
act = ActivationLayerInfo::ActivationFunction::TANH;
break;
case AclActivationType::AclRelu:
act = ActivationLayerInfo::ActivationFunction::RELU;
break;
case AclActivationType::AclBoundedRelu:
act = ActivationLayerInfo::ActivationFunction::BOUNDED_RELU;
break;
case AclActivationType::AclLuBoundedRelu:
act = ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU;
break;
case AclActivationType::AclLeakyRelu:
act = ActivationLayerInfo::ActivationFunction::LEAKY_RELU;
break;
case AclActivationType::AclSoftRelu:
act = ActivationLayerInfo::ActivationFunction::SOFT_RELU;
break;
case AclActivationType::AclElu:
act = ActivationLayerInfo::ActivationFunction::ELU;
break;
case AclActivationType::AclAbs:
act = ActivationLayerInfo::ActivationFunction::ABS;
break;
case AclActivationType::AclSquare:
act = ActivationLayerInfo::ActivationFunction::SQUARE;
break;
case AclActivationType::AclSqrt:
act = ActivationLayerInfo::ActivationFunction::SQRT;
break;
case AclActivationType::AclLinear:
act = ActivationLayerInfo::ActivationFunction::LINEAR;
break;
case AclActivationType::AclHardSwish:
act = ActivationLayerInfo::ActivationFunction::HARD_SWISH;
break;
default:
return ActivationLayerInfo();
}
return ActivationLayerInfo(act, desc.a, desc.b);
}
} // namespace detail
} // namespace arm_compute