well originally (1,64,32,32) was the activation of one layer of my resnet model. 1= batchsize, 64 = neurons in the layer. and I saved it for each 936 pics that I gave to my model. I reshaped and permuted that for another purpose and so now I have a tensor of size (64,939,32,32). it’s the same with the other tensor.
How can I reshape one of them and which one should I reshape?
What if I was to remove the excess data and make them both of size (64, 936, 32, 32)? how should I do it? I think in my case it is wouldn’t hurt the purpose.