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December 3, 2020 13:22
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Testing/profiling webdataset data loading speed issue
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from itertools import islice | |
from munch import Munch | |
import sys, os | |
from torch.utils.data import DataLoader | |
from torchvision import transforms | |
import time | |
import webdataset as wds | |
sys.path.append(os.getcwd()) | |
num_iters = 50 | |
args = Munch(input_size=224, | |
use_random_data=False, | |
shuffle_buffer=1, | |
batch_size=256, | |
num_workers=8, | |
tpu_cores=None) | |
url = "http://storage.googleapis.com/nvdata-openimages/openimages-train-{000000..000554}.tar" | |
url = f"pipe:curl -L -s {url} || true" | |
def identity(x): | |
return x | |
normalize = transforms.Normalize( | |
mean=[0.485, 0.456, 0.406], | |
std=[0.229, 0.224, 0.225]) | |
preproc = transforms.Compose([ | |
transforms.RandomResizedCrop(224), | |
transforms.RandomHorizontalFlip(), | |
transforms.ToTensor(), | |
normalize, | |
]) | |
dataset = ( | |
wds.Dataset(url) | |
.shuffle(100) | |
.decode("pil") | |
.to_tuple("jpg;png", "json") | |
.map_tuple(preproc, identity) | |
.batched(args.batch_size) | |
) | |
dataloader = DataLoader(dataset, num_workers=args.num_workers, batch_size=None) | |
start_time = time.time() | |
for i, sample in enumerate(islice(dataloader, 0, num_iters)): | |
print(f'\r{i}', end='') | |
print(f'\nend time={time.time() - start_time}') |
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