/* * 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(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