def f(self, x, y):
log.warn('Using default loss cross entropy')
return tf.nn.softmax_cross_entropy_with_logits_v2(logits=x,
labels=y)
def f(logits, y):
log.warn('No testing metrics set')
return tf.constant(0)
def optimize(loss):
log.warn('No optimizer set')
def f(logits, ys):
log.warn('No training metrics set')
return logits, ys