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Validate with 2x --workers (ultralytics#6658)
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glenn-jocher authored and eladco committed Mar 10, 2022
1 parent a5e4fe1 commit 921c681
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Showing 2 changed files with 2 additions and 2 deletions.
2 changes: 1 addition & 1 deletion train.py
Original file line number Diff line number Diff line change
Expand Up @@ -232,7 +232,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
if RANK in [-1, 0]:
val_loader = create_dataloader(val_path, imgsz, batch_size // WORLD_SIZE * 2, gs, single_cls,
hyp=hyp, cache=None if noval else opt.cache, rect=True, rank=-1,
workers=workers, pad=0.5,
workers=workers * 2, pad=0.5,
prefix=colorstr('val: '))[0]

if not resume:
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2 changes: 1 addition & 1 deletion utils/datasets.py
Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,7 @@ def create_dataloader(path, imgsz, batch_size, stride, single_cls=False, hyp=Non

batch_size = min(batch_size, len(dataset))
nd = torch.cuda.device_count() # number of CUDA devices
nw = min([os.cpu_count() // max(nd, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers
nw = min([2 * os.cpu_count() // max(nd, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers
sampler = None if rank == -1 else distributed.DistributedSampler(dataset, shuffle=shuffle)
loader = DataLoader if image_weights else InfiniteDataLoader # only DataLoader allows for attribute updates
return loader(dataset,
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