2、tf.losses.add_loss将外部定义的损失添加到损失集合中。...tf.losses.add_loss( loss, loss_collection=tf.GraphKeys.LOSSES)参数：loss:损耗张量。
convex_combination.append(normed[k] * placeholder) d_sum = tf.add_n(convex_combination) d_sum *= degree tf.losses.add_loss...num_nodes, size)), dtype='float32') embeddings = tf.Variable(embeddings, name=side + 'E') tf.losses.add_loss
gclasses) loss = tf.div(tf.reduce_sum(loss * fpmask), batch_size, name='value') tf.losses.add_loss...no_classes) loss = tf.div(tf.reduce_sum(loss * fnmask), batch_size, name='value') tf.losses.add_loss...glocalisations) loss = tf.div(tf.reduce_sum(loss * weights), batch_size, name='value') tf.losses.add_loss
tf.div(tf.reduce_sum(loss * fpmask), batch_size, name='value') tf.losses.add_loss...tf.div(tf.reduce_sum(loss * fnmask), batch_size, name='value') tf.losses.add_loss...batch_size, name='value') tf.losses.add_loss
tf.reduce_sum(weights), name="batch_loss") tf.losses.add_loss...tf.reduce_sum(weights), name="batch_loss") tf.losses.add_loss
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