From 8168f407f0f2715250f388089f26ed39683ac00a Mon Sep 17 00:00:00 2001 From: Aron Virginas-Tar Date: Fri, 4 Oct 2019 13:10:16 +0100 Subject: IVGCVSW-3889 Add CL workload for INSTANCE_NORMALIZATION !android-nn-driver:2039 Signed-off-by: Kevin May Signed-off-by: Aron Virginas-Tar Change-Id: I621dd80920b58b8b795ed13917b88850519c8177 --- .../workloads/ClInstanceNormalizationWorkload.cpp | 59 ++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp (limited to 'src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp') diff --git a/src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp b/src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp new file mode 100644 index 0000000000..50cf345a7f --- /dev/null +++ b/src/backends/cl/workloads/ClInstanceNormalizationWorkload.cpp @@ -0,0 +1,59 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ClInstanceNormalizationWorkload.hpp" +#include "ClWorkloadUtils.hpp" + +#include + +#include + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const InstanceNormalizationDescriptor& descriptor) +{ + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); + + return arm_compute::CLInstanceNormalizationLayer::validate(&aclInputInfo, + &aclOutputInfo, + descriptor.m_Gamma, + descriptor.m_Beta, + descriptor.m_Eps); +} + +ClInstanceNormalizationWorkload::ClInstanceNormalizationWorkload( + const InstanceNormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClInstanceNormalizationWorkload", 1, 1); + + arm_compute::ICLTensor& input = static_cast(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ICLTensor& output = static_cast(m_Data.m_Outputs[0])->GetTensor(); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + input.info()->set_data_layout(aclDataLayout); + output.info()->set_data_layout(aclDataLayout); + + m_Layer.configure(&input, + &output, + descriptor.m_Parameters.m_Gamma, + descriptor.m_Parameters.m_Beta, + descriptor.m_Parameters.m_Eps); +}; + +void ClInstanceNormalizationWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClInstanceNormalizationWorkload_Execute"); + RunClFunction(m_Layer, CHECK_LOCATION()); +} + +} // namespace armnn -- cgit v1.2.1