pythonpytorchtqdm

best way of tqdm for data loader

How to use tqdm for data_loader ?

is this the correct way?

for i,j in enumerate(data_loader,total = 100):
           pass
Solution

  • You need to wrap the iterable with tqdm, as their documentation clearly says:

    Instantly make your loops show a smart progress meter - just wrap any iterable with tqdm(iterable), and you’re done!

    If you're enumerating over an iterable, you can do something like the following. Sleep is only for visualizing it.

    from tqdm import tqdm
from time import sleep

data_loader = list(range(1000))

for i, j in enumerate(tqdm(data_loader)):
    sleep(0.01)