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,
43 input.info()->set_data_layout(aclDataLayout);
44 output.info()->set_data_layout(aclDataLayout);
46 m_Layer.configure(&input,
arm_compute::Status ClInstanceNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor)
void Execute() const override
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
const InstanceNormalizationQueueDescriptor m_Data
float m_Gamma
Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
float m_Eps
Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...
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. ...
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
ClInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Inputs
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.