class_docstr: Batch normalization layer without CUDNN. It is a temporary solution.
  
  Parameters
  ----------
  kwargs : arguments goes to mxnet.gluon.nn.BatchNorm
class_docstr_tok: ["Batch","normalization","layer","without","CUDNN",".","It","is","a","temporary","solution",".","Parameters","--","--","--","--","--","kwargs",":","arguments","goes","to","mxnet.gluon.nn.BatchNorm"]
code: def hybrid_forward(
      self, F, x, gamma, beta, running_mean, running_var
  ):
      return F.BatchNorm(
          x,
          gamma,
          beta,
          running_mean,
          running_var,
          name="fwd",
          cudnn_off=True,
          **self._kwargs,
      )
  
imports: from __future__ import absolute_import
  from mxnet import initializer
  from mxnet.gluon import nn, contrib
  from mxnet.gluon.nn import BatchNorm, HybridBlock
label_desc: Use image node_id 2 for calling the BatchNormCudnnOff obj's underlying member method code with example usage: obj.hybrid_forward(F, x, gamma, beta, running_mean, running_var) and returns: F