def cost(label, logit):
loss = sigmoid_loss(label=label, logit=logit)
return loss
def cost(logit):
# loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels = label, logits = logit))
label = tf.ones_like(logit)
loss = sigmoid_loss(label=label, logit=logit)
return loss