| 54 | class PrefetchLoader: |
| 55 | |
| 56 | def __init__(self, |
| 57 | loader, |
| 58 | mean=IMAGENET_DEFAULT_MEAN, |
| 59 | std=IMAGENET_DEFAULT_STD, |
| 60 | fp16=False, |
| 61 | re_prob=0., |
| 62 | re_mode='const', |
| 63 | re_count=1, |
| 64 | re_num_splits=0): |
| 65 | self.loader = loader |
| 66 | self.mean = torch.tensor([x * 255 for x in mean]).cuda().view(1, 3, 1, 1) |
| 67 | self.std = torch.tensor([x * 255 for x in std]).cuda().view(1, 3, 1, 1) |
| 68 | self.fp16 = fp16 |
| 69 | if fp16: |
| 70 | self.mean = self.mean.half() |
| 71 | self.std = self.std.half() |
| 72 | if re_prob > 0.: |
| 73 | self.random_erasing = RandomErasing( |
| 74 | probability=re_prob, mode=re_mode, max_count=re_count, num_splits=re_num_splits) |
| 75 | else: |
| 76 | self.random_erasing = None |
| 77 | |
| 78 | def __iter__(self): |
| 79 | stream = torch.cuda.Stream() |