Doing tensor = tensor/1 makes pickle goes from 900 Mb to 4 Mb /u/Lindayz Python Education

I had 1024×1024 tensors that I pickled and they weighted 900 Mb which I found very odd.

Here is the very big tensor for reproducibility purposes (https://we.tl/t-ERWsb81HFv – I realize downloading files from a stranger seems dangerous, sorry, I don’t really know how I can share the file otherwise).

When running this:

import pickle with open("test3.pkl", "rb") as f: image_2d = pickle.load(f) image_2d.dtype, image_2d.shape 

I get

(torch.float32, torch.Size([1024, 1024])) 

which seems normal.

If I dump the file, it stays at 900 Mb.

If I do

image_2d = image_2d / 1

I still have a

(torch.float32, torch.Size([1024, 1024])) 

but when I dump the file it goes to 4 Mb.

What am I doing wrong?

I had 1024×1024 tensors that I pickled and they weighted 900 Mb which I found very odd.

Here is the very big tensor for reproducibility purposes (https://we.tl/t-ERWsb81HFv – I realize downloading files from a stranger seems dangerous, sorry, I don’t really know how I can share the file otherwise).

When running this:

import pickle with open("test3.pkl", "rb") as f: image_2d = pickle.load(f) image_2d.dtype, image_2d.shape 

I get

(torch.float32, torch.Size([1024, 1024])) 

which seems normal.

If I dump the file, it stays at 900 Mb.

If I do

image_2d = image_2d / 1

I still have a

(torch.float32, torch.Size([1024, 1024])) 

but when I dump the file it goes to 4 Mb.

What am I doing wrong?