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import torch | |
import torch.nn as nn | |
import torch.optim as optim | |
from torch.utils.data import DataLoader | |
import torchvision | |
from torchvision import transforms | |
from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights | |
# 环境设置:检查GPU可用性 | |
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') |
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import torch | |
import torch.nn as nn | |
import torch.optim as optim | |
from torch.utils.data import DataLoader | |
import torchvision | |
from torchvision import transforms | |
from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights | |
# 环境设置 | |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import torch | |
import torch.nn as nn | |
import torch.optim as optim | |
from torch.utils.data import DataLoader | |
import torchvision | |
from torchvision import transforms | |
from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights | |
# 环境设置 | |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |