29 lines
671 B
Python
Executable file
29 lines
671 B
Python
Executable file
from tqdm import tqdm
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import torch
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from torchvision import transforms, datasets
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data = datasets.MNIST('../datasets', train=True, download=True,
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transform=transforms.Compose([
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transforms.ToTensor()
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]))
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loader = torch.utils.data.DataLoader(data, batch_size=15, shuffle=False)
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set = {'0': 0, '1': 0, '2': 0, '3': 0, '4': 0, '5': 0, '6': 0, '7': 0, '8': 0, '9': 0}
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for data in loader:
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print(data[1].shape)
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for _, label in tqdm(loader):
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set[str(label[0].item())] += 1
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print(set)
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num = 0
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for x in set:
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num += set[x]
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print(num)
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for x in set:
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set[x] /= num
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set[x] *= 100
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print(set)
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