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author | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
commit | 4fcda0101ec3d110c1d6d7bee5c83416b645528a (patch) | |
tree | c9a70aeb2887006160c1b3d265c27efadb7bdbae /src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp | |
download | armnn-4fcda0101ec3d110c1d6d7bee5c83416b645528a.tar.gz |
Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp b/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp new file mode 100644 index 0000000000..247ebfc5dd --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp @@ -0,0 +1,72 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#pragma once + +#include <backends/ArmComputeTensorUtils.hpp> +#include <backends/CpuTensorHandle.hpp> +#include <backends/NeonTensorHandle.hpp> +#include <backends/Workload.hpp> + +#include <boost/cast.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> +{ +public: + NeonBaseConstantWorkload(const ConstantQueueDescriptor& descriptor, const WorkloadInfo& info) + : TypedWorkload<ConstantQueueDescriptor, DataFormat>(descriptor, info) + , m_RanOnce(false) + { + } + + virtual void Execute() const override + { + using namespace armcomputetensorutils; + + // The intermediate tensor held by the corresponding layer output handler can be initialised with the + // given data on the first inference, then reused for subsequent inferences. + // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer + // may not have been configured at the time. + if (!m_RanOnce) + { + const ConstantQueueDescriptor& data = this->m_Data; + + BOOST_ASSERT(data.m_LayerOutput != nullptr); + arm_compute::ITensor& output = + boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor(); + + switch (DataFormat) + { + case DataType::Float32: + { + CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<float>(), output); + break; + } + case DataType::QuantisedAsymm8: + { + CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output); + break; + } + default: + { + BOOST_ASSERT_MSG(false, "Unknown data type"); + break; + } + } + + m_RanOnce = true; + } + } + +private: + mutable bool m_RanOnce; +}; + +} //namespace armnn |