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Diffstat (limited to 'src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp b/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp new file mode 100644 index 0000000000..e1aceec197 --- /dev/null +++ b/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp @@ -0,0 +1,44 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonConvertFp32ToBf16Workload.hpp" + +#include <BFloat16.hpp> +#include <Profiling.hpp> + +#include <armnnUtils/FloatingPointConverter.hpp> + +#include <backendsCommon/WorkloadUtils.hpp> + +namespace armnn +{ + +NeonConvertFp32ToBf16Workload::NeonConvertFp32ToBf16Workload(const ConvertFp32ToBf16QueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32ToBFloat16Workload<ConvertFp32ToBf16QueueDescriptor>(descriptor, info) +{ + this->m_Data.ValidateInputsOutputs("NeonConvertFp32ToBf16Workload", 1, 1); + GatherTensorHandlePairs(descriptor, m_TensorHandlePairs); +} + +void NeonConvertFp32ToBf16Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvertFp32ToBf16Workload_Execute"); + + auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size) + { + auto input = reinterpret_cast<const float*>(src); + auto output = reinterpret_cast<BFloat16*>(dst); + size_t numElements = size/2; // 2 bytes per bf16 + armnnUtils::FloatingPointConverter::ConvertFloat32ToBFloat16(input, numElements, output); + }; + + for (const auto& pair : m_TensorHandlePairs) + { + CopyTensorContentsGeneric(pair.first, pair.second, convertFunc); + } +} + +} //namespace armnn |