Hello, I have a very simple doubt that’s bothering me.
I want to know, when I create a transform for a dataloader which takes a batch_size=32, do all the transforms happen exactly same to all the 32 samples in the batch?
For eg.
transforms = compose([RandomAffine(10), toTensor()])
# random affine transformation within (-10,10) degrees
ds = utils.DataLoader(some_custom_data_loader, transforms, batch_size = 32)

Now if I take any one batch generated from it, will all the samples in it have exactly same affine transformation(in degrees), say 5 deg to all of them?
Or will each sample(out of 32) have a different transformation (like [5, -1, 0, 9, -2,…(32 samples)] degrees)?
Excuse me if this is too simple doubt!
Thank you in advance!