parameters: (tensor, mean, variance, beta, gamma, scale)
return_statement: return tf.nn.batch_normalization(
        tensor, mean, variance, beta, gamma if scale else None, 0.001)
docstring: Python implementation of batch normalization.
docstring_summary: Python implementation of batch normalization.
docstring_tokens: Python implementation of batch normalization .
function: def batch_norm_py(tensor, mean, variance, beta, gamma, scale):
    """Python implementation of batch normalization."""
    return tf.nn.batch_normalization(
        tensor, mean, variance, beta, gamma if scale else None, 0.001)
function_tokens: def batch_norm_py ( tensor , mean , variance , beta , gamma , scale ) : return tf . nn . batch_normalization ( tensor , mean , variance , beta , gamma if scale else None , 0.001 )