Groupnorm

Groupnorm#

MIOpen: Groupnorm
Groupnorm

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

◆ miopenGroupNormForward()

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
handleMIOpen handle (input)
modeGroupNorm mode (input)
xDescTensor descriptor for data input tensor x (input)
xData tensor x (input)
weightDescTensor descriptor for data input tensor weight (input)
weightData tensor weight (input)
biasDescTensor descriptor for data input tensor bias (input)
biasData tensor bias (input)
num_groupsnNmber of groups to separate the channels into (input)
epsilonValue to stablize inverse variance calculation (input)
yDescTensor descriptor for output data tensor y (input)
yData tensor y (output)
meanDescTensor descriptor for output data tensor mean (input)
meanData tensor mean (output)
rstdDescTensor descriptor for output data tensor rstd (input)
rstdData tensor rstd (output)
Returns
miopenStatus_t
Examples
/home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-miopen/checkouts/docs-6.2.0/include/miopen/miopen.h.