| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonConvertBf16ToFp32Workload.hpp" |
| |
| #include <armnnUtils/FloatingPointConverter.hpp> |
| |
| #include <BFloat16.hpp> |
| |
| #include <backendsCommon/WorkloadUtils.hpp> |
| |
| namespace armnn |
| { |
| |
| NeonConvertBf16ToFp32Workload::NeonConvertBf16ToFp32Workload(const ConvertBf16ToFp32QueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BFloat16ToFloat32Workload<ConvertBf16ToFp32QueueDescriptor>(descriptor, info) |
| { |
| this->m_Data.ValidateInputsOutputs("NeonConvertBf16ToFp32Workload", 1, 1); |
| GatherTensorHandlePairs(descriptor, m_TensorHandlePairs); |
| } |
| |
| void NeonConvertBf16ToFp32Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonConvertBf16ToFp32Workload_Execute", this->GetGuid()); |
| |
| auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size) |
| { |
| auto input = reinterpret_cast<const BFloat16*>(src); |
| auto output = reinterpret_cast<float*>(dst); |
| size_t numElements = size/2; // 2 bytes per Bf16 |
| armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(input, numElements, output); |
| }; |
| |
| for (const auto& pair : m_TensorHandlePairs) |
| { |
| CopyTensorContentsGeneric(pair.first, pair.second, convertFunc); |
| } |
| } |
| |
| } //namespace armnn |