losses.py 文件源码

def L1(tensor, wd=0.001):
    """ L1.

    Computes the L1 norm of a tensor:

      output = sum(|t|) * wd

    Arguments:
        tensor: `Tensor`. The tensor to apply regularization.
        wd: `float`. The decay.

    Returns:
        The regularization `Tensor`.

    """
    return tf.multiply(tf.reduce_sum(tf.abs(tensor)), wd, name='L1-Loss')