| import matplotlib.pyplot as plt | |
| import torch | |
| from torchvision import datasets | |
| import numpy as py | |
| dataset=datasets.MNIST('../data') | |
| x=dataset.data[8888] | |
| print(x.shape) | |
| #print("pic info",x) | |
| #x.save("imageexample.png") |
| import matplotlib.pyplot as plt | |
| import torch | |
| from torchvision import datasets | |
| import numpy as py | |
| dataset=datasets.MNIST('../data') | |
| x=dataset.data[8888] | |
| print(x.shape) | |
| #print("pic info",x) | |
| #x.save("imageexample.png") |