tf_util.py 文件源码

def batch_norm_for_conv1d(inputs, is_training, bn_decay, scope):
  """ Batch normalization on 1D convolutional maps.

  Args:
      inputs:      Tensor, 3D BLC input maps
      is_training: boolean tf.Varialbe, true indicates training phase
      bn_decay:    float or float tensor variable, controling moving average weight
      scope:       string, variable scope
  Return:
      normed:      batch-normalized maps
  """
  return batch_norm_template(inputs, is_training, scope, [0,1], bn_decay)