(input_tensor, name=None)
return tf.contrib.layers.layer_norm(
      inputs=input_tensor, begin_norm_axis=-1, begin_params_axis=-1, scope=name)
Run layer normalization on the last dimension of the tensor.
Run layer normalization on the last dimension of the tensor.
Run layer normalization on the last dimension of the tensor .
def layer_norm(input_tensor, name=None):
  """Run layer normalization on the last dimension of the tensor."""
  return tf.contrib.layers.layer_norm(
      inputs=input_tensor, begin_norm_axis=-1, begin_params_axis=-1, scope=name)
def layer_norm ( input_tensor , name = None ) : return tf . contrib . layers . layer_norm ( inputs = input_tensor , begin_norm_axis = - 1 , begin_params_axis = - 1 , scope = name )