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Diffstat (limited to 'src/backends/neon/workloads/NeonConvertBf16ToFp32Workload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConvertBf16ToFp32Workload.cpp | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvertBf16ToFp32Workload.cpp b/src/backends/neon/workloads/NeonConvertBf16ToFp32Workload.cpp new file mode 100644 index 0000000000..79d1f22313 --- /dev/null +++ b/src/backends/neon/workloads/NeonConvertBf16ToFp32Workload.cpp @@ -0,0 +1,43 @@ +// +// Copyright © 2020 Arm Ltd. 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("NeonConvertBf16ToFp32Workload_Execute"); + + 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 |