如何在tensorflow会话中使用均方误差损失

我不熟悉tensorflow

tensorflow会话代码的一部分包括:

 loss = tf.nn.softmax_cross_entropy_with_logits_v2(
                    logits=net, labels=self.out_placeholder, name='cross_entropy')
                self.loss = tf.reduce_mean(loss, name='mean_squared_error')

我想用 mean_squared_error

tf.losses.mean_squared_error(
labels,
predictions,
weights=1.0,
scope=None,
loss_collection=tf.GraphKeys.LOSSES,
reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)

我需要这个回归问题的损失函数。

我试过:

loss = tf.losses.mean_squared_error(predictions=net, labels=self.out_placeholder)
self.loss = tf.reduce_mean(loss, name='mean_squared_error')

哪里 net = tf.matmul(input_tensor, weights) + biases