torch device
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')torch device
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')pytorch anaconda install windows
conda install pytorch torchvision cudatoolkit=10.1 -c pytorchtorch import
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torchvision import datasets, transforms, models
from torchvision.utils import make_grid
import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
%matplotlib inline
transform = transforms.ToTensor()
train_data = datasets.FashionMNIST(root='../Data', train=True, download=True, transform=transform)
test_data = datasets.FashionMNIST(root='../Data', train=False, download=True, transform=transform)Copyright © 2021 Codeinu
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