我在计算两个损失。批次循环结束时，每批一次，每一次周期一次。当我试图将这两个损失相加时，我会得到以下错误：

RuntimeError: one of the variables needed for gradient computation has been modified by   an inplace operation: [torch.FloatTensor [64, 49]], which is output 0 of AsStridedBackward0, is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or anywhere later. Good luck!

我有理由把这两项损失相加。

代码的一般思想如下：

loss_epoch = 0 # it's zero in the first epoch
for epoch in epochs:
    for batch in batches:
        optimizer.zero_grad()
        loss_batch = criterion_batch(output_batch, target_batch)