diff options
Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp | 25 |
1 files changed, 18 insertions, 7 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp b/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp index 247ebfc5dd..e0ad408424 100644 --- a/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp +++ b/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp @@ -5,23 +5,27 @@ #pragma once +#include <arm_compute/core/Types.h> #include <backends/ArmComputeTensorUtils.hpp> #include <backends/CpuTensorHandle.hpp> #include <backends/NeonTensorHandle.hpp> +#include <backends/NeonWorkloadUtils.hpp> #include <backends/Workload.hpp> +#include <Half.hpp> #include <boost/cast.hpp> +#include "Half.hpp" namespace armnn { -// Base class template providing an implementation of the Constant layer common to all data types -template <armnn::DataType DataFormat> -class NeonBaseConstantWorkload : public TypedWorkload<ConstantQueueDescriptor, DataFormat> +// Base class template providing an implementation of the Constant layer common to all data types. +template <armnn::DataType... DataFormats> +class NeonBaseConstantWorkload : public TypedWorkload<ConstantQueueDescriptor, DataFormats...> { public: NeonBaseConstantWorkload(const ConstantQueueDescriptor& descriptor, const WorkloadInfo& info) - : TypedWorkload<ConstantQueueDescriptor, DataFormat>(descriptor, info) + : TypedWorkload<ConstantQueueDescriptor, DataFormats...>(descriptor, info) , m_RanOnce(false) { } @@ -41,15 +45,22 @@ public: BOOST_ASSERT(data.m_LayerOutput != nullptr); arm_compute::ITensor& output = boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor(); + arm_compute::DataType computeDataType = + boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetDataType(); - switch (DataFormat) + switch (computeDataType) { - case DataType::Float32: + case arm_compute::DataType::F16: + { + CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<Half>(), output); + break; + } + case arm_compute::DataType::F32: { CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<float>(), output); break; } - case DataType::QuantisedAsymm8: + case arm_compute::DataType::QASYMM8: { CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output); break; |