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关于torchvision.datasets.CIFAR10

IT圈 admin 20浏览 0评论

2024年6月6日发(作者:闪卫)

if :

downloaded_list = _list

else:

downloaded_list = _list

= []

s = []

# now load the picked numpy arrays

for file_name, checksum in downloaded_list:

file_path = (, _folder, file_name)

with open(file_path, 'rb') as f:

if n_info[0] == 2:

entry = (f)

else:

entry = (f, encoding='latin1')

(entry['data'])

if 'labels' in entry:

(entry['labels'])

else:

(entry['fine_labels'])

= ().reshape(-1, 3, 32, 32)

= ose((0, 2, 3, 1)) # convert to HWC

self._load_meta()

2024年6月6日发(作者:闪卫)

if :

downloaded_list = _list

else:

downloaded_list = _list

= []

s = []

# now load the picked numpy arrays

for file_name, checksum in downloaded_list:

file_path = (, _folder, file_name)

with open(file_path, 'rb') as f:

if n_info[0] == 2:

entry = (f)

else:

entry = (f, encoding='latin1')

(entry['data'])

if 'labels' in entry:

(entry['labels'])

else:

(entry['fine_labels'])

= ().reshape(-1, 3, 32, 32)

= ose((0, 2, 3, 1)) # convert to HWC

self._load_meta()

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