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Fix floating point in number of workers `nw` (#6701) 

Integer division by a float yields a (rounded) float. This causes
the dataloader to crash when creating a range.
This commit is contained in:
Samuel Yvon 2022-02-18 15:06:21 -05:00 committed by GitHub
parent 56697c43ff
commit 0365379016
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utils/datasets.py
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@ -110,7 +110,7 @@ def create_dataloader(path, imgsz, batch_size, stride, single_cls=False, hyp=Non
batch_size = min(batch_size, len(dataset)) batch_size = min(batch_size, len(dataset))
nd = torch.cuda.device_count() # number of CUDA devices nd = torch.cuda.device_count() # number of CUDA devices
nw = min([os.cpu_count() // max(nd / 2, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers nw = min([os.cpu_count() // max(nd // 2, 1), batch_size if batch_size > 1 else 0, workers]) # number of workers
sampler = None if rank == -1 else distributed.DistributedSampler(dataset, shuffle=shuffle) sampler = None if rank == -1 else distributed.DistributedSampler(dataset, shuffle=shuffle)
loader = DataLoader if image_weights else InfiniteDataLoader # only DataLoader allows for attribute updates loader = DataLoader if image_weights else InfiniteDataLoader # only DataLoader allows for attribute updates
return loader(dataset, return loader(dataset,