我正在尝试使用张量流计算三重音损失，代码为：
# Step 1: Compute the (encoding) distance between the anchor and the positive
pos_dist = tf.reduce_sum(tf.square(tf.subtract(anchor, positive)))
# Step 2: Compute the (encoding) distance between the anchor and the negative
neg_dist = tf.reduce_sum(tf.square(tf.subtract(anchor, negative)))
# Step 3: subtract the two previous distances and add alpha.
basic_loss = tf.add(tf.subtract(pos_dist, neg_dist),alpha)
# Step 4: Take the maximum of basic_loss and 0.0. Sum over the training examples.
loss = tf.maximum(tf.reduce_sum(basic_loss),0)
但是我没有得到正确的答案。
当我随机访问以下代码时，它给了我正确的答案。
# Step 1: Compute the (encoding) distance between the anchor and the positive, you will need to sum over axis=-1
pos_dist = tf.reduce_sum(tf.square(anchor - positive), axis = -1)
# Step 2: Compute the (encoding) distance between the anchor and the negative, you will need to sum over axis=-1
neg_dist = tf.reduce_sum(tf.square(anchor - negative), axis = -1)
# Step 3: subtract the two previous distances and add alpha.
basic_loss = pos_dist - neg_dist + alpha
# Step 4: Take the maximum of basic_loss and 0.0. Sum over the training examples.
loss = tf.reduce_sum(tf.maximum(basic_loss, 0.0))
如果有人能帮助我找出错误的地方，那就太好了。谢谢！