def __init__(self, root, transform=None, target_transform=None, download=False, dev_mode=False):
self.root = os.path.expanduser(root)
self.transform = transform
self.target_transform = target_transform
self.dev_mode = dev_mode
self.data = []
self.labels = []
self.num_samples = 0
self.max_len = 0
if download:
self.download()
if not self._check_exists():
raise RuntimeError('Dataset not found.' +
' You can use download=True to download it')
self.data, self.labels = torch.load(os.path.join(
self.root, self.processed_folder, self.processed_file))
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