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Diffstat (limited to 'src/backends/reference/workloads/RefQuantizeWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefQuantizeWorkload.cpp | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefQuantizeWorkload.cpp b/src/backends/reference/workloads/RefQuantizeWorkload.cpp new file mode 100644 index 0000000000..b7ace32e14 --- /dev/null +++ b/src/backends/reference/workloads/RefQuantizeWorkload.cpp @@ -0,0 +1,66 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefQuantizeWorkload.hpp" + +#include <armnn/TypesUtils.hpp> + + +namespace armnn +{ + +namespace +{ + +template<typename T> +void QuantizeImpl(const void *input, void *output, size_t numValues, float scale, int offset) +{ + auto in = static_cast<const float *>(input); + auto out = static_cast<T *>(output); + for (size_t i = 0; i < numValues; i++, in++, out++) + { + *out = armnn::Quantize<T>(*in, scale, offset); + } +} + +} //namespace + +RefQuantizeWorkload::RefQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, const WorkloadInfo &info) + : BaseWorkload(descriptor, info) + , m_NumElements(info.m_InputTensorInfos[0].GetNumElements()) + , m_TargetType(info.m_OutputTensorInfos[0].GetDataType()) + , m_Scale(info.m_OutputTensorInfos[0].GetQuantizationScale()) + , m_Offset(info.m_OutputTensorInfos[0].GetQuantizationOffset()) +{ +} + +void RefQuantizeWorkload::Execute() const +{ + const void* input = m_Data.m_Inputs[0]->Map(true); + void* output = m_Data.m_Outputs[0]->Map(true); + + switch(m_TargetType) + { + case DataType::QuantisedAsymm8: + { + QuantizeImpl<uint8_t>(input, output, m_NumElements, m_Scale, m_Offset); + break; + } + case DataType::QuantisedSymm16: + { + QuantizeImpl<int16_t>(input, output, m_NumElements, m_Scale, 0); + break; + } + default: + { + BOOST_ASSERT_MSG(false, "RefQuantizeWorkload: Non quantized output type encountered"); + } + } + + m_Data.m_Inputs[0]->Unmap(); + m_Data.m_Outputs[0]->Unmap(); +} + +} //namespace armnn
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