refactor dataloader

pull/1/head
Glenn Jocher 5 years ago
parent 22fb2b0c25
commit 77fb8ee082

@ -52,7 +52,7 @@ def create_dataloader(path, imgsz, batch_size, stride, opt, hyp=None, augment=Fa
pad=pad) pad=pad)
batch_size = min(batch_size, len(dataset)) batch_size = min(batch_size, len(dataset))
nw = min([os.cpu_count(), batch_size if batch_size > 1 else 0, 0]) # number of workers nw = min([os.cpu_count(), batch_size if batch_size > 1 else 0, 8]) # number of workers
dataloader = torch.utils.data.DataLoader(dataset, dataloader = torch.utils.data.DataLoader(dataset,
batch_size=batch_size, batch_size=batch_size,
num_workers=nw, num_workers=nw,

Loading…
Cancel
Save