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author | David Beck <david.beck@arm.com> | 2018-09-24 15:59:27 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | 0dbe0ee25312b728d77383d11c465156e64ae757 (patch) | |
tree | af37a9802e3ad551e1bf63f7636508cde7a41643 /src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp | |
parent | b4540bef0b0327683fe8e63f727c1212800dc2a9 (diff) | |
download | armnn-0dbe0ee25312b728d77383d11c465156e64ae757.tar.gz |
IVGCVSW-1899 : Neon backend folder structure
armnn:149855
Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa
Diffstat (limited to 'src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp new file mode 100644 index 0000000000..cd26f8d536 --- /dev/null +++ b/src/backends/neon/workloads/NeonConvolution2dFloatWorkload.cpp @@ -0,0 +1,40 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonConvolution2dFloatWorkload.hpp" +#include <backends/CpuTensorHandle.hpp> +#include <backends/aclCommon/ArmComputeTensorUtils.hpp> +#include <backends/neon/NeonLayerSupport.hpp> + +namespace armnn +{ +using namespace armcomputetensorutils; + +NeonConvolution2dFloatWorkload::NeonConvolution2dFloatWorkload(const Convolution2dQueueDescriptor& descriptor, + const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) + : NeonConvolution2dBaseWorkload(descriptor, info, memoryManager) +{ + if (m_Data.m_Parameters.m_BiasEnabled) + { + InitializeArmComputeTensorDataForFloatTypes(*m_BiasTensor, m_Data.m_Bias); + } + + m_ConvolutionLayer->prepare(); + FreeUnusedTensors(); +} + +void NeonConvolution2dFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvolution2dFloatWorkload_Execute"); + m_ConvolutionLayer->run(); +} + +void NeonConvolution2dFloatWorkload::ValidateData() const +{ + m_Data.ValidateInputsOutputs("NeonConvolution2dFloatWorkload", 1, 1); +} + +} //namespace armnn + |