Posted by @baristageek #python
x = tf.random_normal([300], mean = 5, stddev = 1) y = tf.random_normal([300], mean = 5, stddev = 1) avg = tf.reduce_mean(x - y) cond = tf.less(avg, 0) left_op = tf.reduce_mean(tf.square(x-y)) right_op = tf.reduce_mean(tf.abs(x-y)) out = tf.where(cond, left_op, right_op) #tf.select() has been fucking deprecatedcontent_copyCopy to Clipboard
Gets the mean squared error of (x - y) if the average of all elements in (x - y) is negative, or the sum of the absolute value of all elements in the tensor (x - y) otherwise. See Huber loss: https://en.wikipedia.org/wiki/Huber_loss