losses.py 文件源码

def l1_loss(tensor, weight=1.0, scope=None):
  """Define a L1Loss, useful for regularize, i.e. lasso.

  Args:
    tensor: tensor to regularize.
    weight: scale the loss by this factor.
    scope: Optional scope for op_scope.

  Returns:
    the L1 loss op.
  """
  with tf.op_scope([tensor], scope, 'L1Loss'):
    weight = tf.convert_to_tensor(weight,
                                  dtype=tensor.dtype.base_dtype,
                                  name='loss_weight')
    loss = tf.mul(weight, tf.reduce_sum(tf.abs(tensor)), name='value')
    tf.add_to_collection(LOSSES_COLLECTION, loss)
    return loss