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Did you also face this parallelization error while training? This seems to be strange since I am using in fact only one gpu-id!
File " /home/shubham/rva/visdialch/encoders/modules.py", line 233, in forward
ques_prob_refine = torch.bmm(ques_gs[:, i, :].view(-1, 1, 2), ques_prob).view(-1, 1, 2) # shape: [batch_size, num_rounds, 2]
RuntimeError: arguments are located on different GPUs at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:479
Any suggestions please
The text was updated successfully, but these errors were encountered:
Hi,
Did you also face this parallelization error while training? This seems to be strange since I am using in fact only one gpu-id!
Any suggestions please
The text was updated successfully, but these errors were encountered: