Functions
miopenStatus_t	miopenGroupNormForward (miopenHandle_t handle, miopenNormMode_t mode, const miopenTensorDescriptor_t xDesc, const void x, const miopenTensorDescriptor_t weightDesc, const void weight, const miopenTensorDescriptor_t biasDesc, const void bias, const uint64_t num_groups, const float epsilon, const miopenTensorDescriptor_t yDesc, void y, const miopenTensorDescriptor_t meanDesc, void mean, const miopenTensorDescriptor_t rstdDesc, void rstd)
	Execute a groupnorm forward layer. More...

Detailed Description

Function Documentation

miopenStatus_t miopenGroupNormForward	(	miopenHandle_t	handle,
		miopenNormMode_t	mode,
		const miopenTensorDescriptor_t	xDesc,
		const void *	x,
		const miopenTensorDescriptor_t	weightDesc,
		const void *	weight,
		const miopenTensorDescriptor_t	biasDesc,
		const void *	bias,
		const uint64_t	num_groups,
		const float	epsilon,
		const miopenTensorDescriptor_t	yDesc,
		void *	y,
		const miopenTensorDescriptor_t	meanDesc,
		void *	mean,
		const miopenTensorDescriptor_t	rstdDesc,
		void *	rstd
	)

Execute a groupnorm forward layer.

Parameters

handle	MIOpen handle (input)
mode	GroupNorm mode (input)
xDesc	Tensor descriptor for data input tensor x (input)
x	Data tensor x (input)
weightDesc	Tensor descriptor for data input tensor weight (input)
weight	Data tensor weight (input)
biasDesc	Tensor descriptor for data input tensor bias (input)
bias	Data tensor bias (input)
num_groups	nNmber of groups to separate the channels into (input)
epsilon	Value to stablize inverse variance calculation (input)
yDesc	Tensor descriptor for output data tensor y (input)
y	Data tensor y (output)
meanDesc	Tensor descriptor for output data tensor mean (input)
mean	Data tensor mean (output)
rstdDesc	Tensor descriptor for output data tensor rstd (input)
rstd	Data tensor rstd (output)

Examples: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/latest/include/miopen/miopen.h.