图像数据集.
MNIST.
transformation = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081,))])
train_dataset = datasets.MNIST('data\\',
train = True,
transform = transformation,
download = True)
test_dataset = datasets.MNIST('data\\',
train = False,
transform = transformation,
download = True)
train_loader = DataLoader(train_dataset,
batch_size = 32,
shuffle = True,
num_workers = 0)
test_loader = DataLoader(test_dataset,
batch_size = 32,
shuffle = False,
num_workers = 0)
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CIFAR10.
ds = datasets.CIFAR10(root = 'data',download = True,
transform = trans)
loader = torch.utils.data.DataLoader(ds,batch_size = 64,
shuffle = True)
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STL10.
IMAGE = STL10(root = 'data/',
split = 'train',
transform = transforms.ToTensor(),
download = True)
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VOC Segmentation.
文本数据集.
IMDB.
TEXT = data.Field(lower = True,
fix_length = 200,
batch_first = True)
LABEL = data.Field(sequential = False)
train,test = datasets.IMDB.splits(TEXT,LABEL)
TEXT.build_vocab(train,
vectors = GloVe(name = '6B',
dim = 300),
max_size = 10000,
min_freq = 10)
LABEL.build_vocab(train)
train_iter,test_iter = \
data.BucketIterator.splits((train,test),
batch_size = 32,
device = torch.device('cpu'),
shuffle = True)
train_iter.repeat = False
test_iter.repeat = False
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WikiText-2.
TEXT = data.Field(batch_first = False,lower = True)
train,valid,test = datasets.WikiText2.splits(TEXT,root = 'data')
batchsize = 4
for dataset in (train,valid,test):
end = (len(dataset[0].text)//batchsize)*batchsize
dataset[0].text = dataset[0].text[0:end]
train_iter,valid_iter,test_iter = \
data.BPTTIterator.splits((train,valid,test),
batch_size = batchsize,
bptt_len = 35)
TEXT.build_vocab(train)
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