记录一个pytorch多卡训练遇到的bug
报错如下：
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [512]] is at version 30; expected version 29 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!
这个是多卡训练时候遇到的，单卡是一切正常的
先按网上的提示，在报错的代码前加上with torch.autograd.set_detect_anomaly(True):语句，之后它会把挂掉时候的栈显示出来，我的打出来是在batchNorm那里出的问题
搜索得到一个方案：https://discuss.pytorch.org/t/ddp-sync-batch-norm-gradient-computation-modified/82847/5
解决方法就是在DDP那里加上一个broadcast_buffers=False参数