小编Dak*_*pen的帖子

我正在训练 Pytorch 模型。一段时间后，即使进行随机播放，除了一些有限张量之外，模型还只包含 NaN 值：

tensor([[[    nan,     nan,     nan,  ...,     nan,     nan,     nan],
         [    nan,     nan,     nan,  ...,     nan,     nan,     nan],
         [    nan,     nan,     nan,  ...,     nan,     nan,     nan],
         ...,
         [ 1.4641,  0.0360, -1.1528,  ..., -2.3592, -2.6310,  6.3893],
         [    nan,     nan,     nan,  ...,     nan,     nan,     nan],
         [    nan,     nan,     nan,  ...,     nan,     nan,     nan]]],
       device='cuda:0', grad_fn=<AddBackward0>)

detector_anomaly 函数返回：

  File "TestDownload.py", line 701, in <module>
    main(learning_rate, batch_size, epochs, experiment)
  File "TestDownload.py", line 635, in main
    train(model, device, train_loader, criterion, optimizer, scheduler, …