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)
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