Yuzhe YAO

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RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [4, 512, 16, 16]], which is output 0 of ConstantPadNdBackward, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

I solve my problem by exchanging the position of "loss.backward()" and "optimizer.step()". This case, I call "optimizer.step()" before "lr_scheduler.step()", which is just opposite to what is suggested by the warning....

ERROR：Can't parse 'pt1'. Sequence item with index 0 has a wrong type

> Convert whatever your parameters are to Integer type Yeah I works for me. Thank you