my below code snippet:
model = … #somemodel
model = model.cuda()
model, optimizer = amp.initialize(model, optimizer, opt_level=“O2”)
model = nn.DataParallel(model)
in dataloader batch
images = images.cuda()
output = model(images)
last line is giving me this error:
Expected tensor for argument #1 ‘input’ to have the same device as                                                                                                                                                              tensor for argument #2 ‘weight’; but device 1 does not equal 0 (while checking                                                                                                                                                              arguments for cudnn_convolution)
i am running this code on gcp 2xT4 server. What portion of the above mentioned code is wrong or needs to be corrected to use multi gpu training?
[pytorch version 1.1.0]