x = self.pool1(x) # output(16, 14, 14) x = F.relu(self.conv2(x)) # output(32, 10, 10) ;池化层只改变矩阵的高和宽,不会影响深度(28-2)/2+1 x = self.pool2(x) # output(32, 5, 5) x = x.view(-1, 32*5*5) # output(32*5*5) x = F.relu(self.fc1(x)) # out...
PyTorch 的前身是 Torch,其底层和 Torch 框架一样,但是使用 Python 重新写了很多内容,不仅更加灵活,支持动态图,而且提供了 Python 接口。 # 导入库 import torch from torch import nn from torch.utils.data import DataLoader from torchvision import datasets from torchvision.transforms import ToTensor, Lambda, ...
"DatasetFolder", "FakeData", "CocoCaptions", "CocoDetection", "CIFAR10", "CIFAR100", "EMNIST", "FashionMNIST", "QMNIST", "MNIST", "KMNIST", "StanfordCars", "STL10", "SUN397", "SVHN", "PhotoTour", "SEMEION", "Omniglot", "SBU", "Flickr8k", "...
DatasetFolder 3 from .coco import CocoCaptions, CocoDetection 4 from .cifar import CIFAR10, CIFAR100 5 from .stl10 import STL10 ~/anaconda3/lib/python3.7/site-packages/torchvision/datasets/lsun.py in <module> ---> 1 import torch.utils.data as data 2 from PIL import Image 3 import os ...
Hi, by executing this python3 train.py --name cifar10-100_500 --dataset cifar10 --model_type ViT-B_16 --pretrained_dir checkpoint/ViT-B_16.npz I encounter the error: Traceback (most recent call last): File "train.py", line 17, in <module...