13using namespace armnn::armcomputetensorutils;
22 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
23 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
25 return arm_compute::CLInstanceNormalizationLayer::validate(&aclInputInfo,
35 const arm_compute::CLCompileContext& clCompileContext)
44 m_Data.ValidateInputsOutputs(
"ClInstanceNormalizationWorkload", 1, 1);
49 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(
m_Data.m_Parameters.m_DataLayout);
50 input.info()->set_data_layout(aclDataLayout);
51 output.info()->set_data_layout(aclDataLayout);
55 m_Layer.configure(clCompileContext,
#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
InstanceNormalizationQueueDescriptor m_Data
ClBaseWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
ClInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
void Execute() const override
Copyright (c) 2021 ARM Limited and Contributors.
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.
float m_Eps
Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.
float m_Gamma
Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
float m_Beta
Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.
LayerDescriptor m_Parameters
Contains information about TensorInfos of a layer.