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...
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...
pytorch源码分析之torch.utils.data.Dataset类和torch.utils.data.DataLoader类 批量计算pythonpytorch容器 Pytorch深度学习框架优势之一是python优先,源代码由python代码层和C语言代码层组成,一般只需要理解python代码层就可以深入理解pytorch框架的计算原理。所以学习pytorch源码需要熟练掌握python语言的各种使用技巧。 全栈程序员...
from mindspore import common, dataset, mindrecord, train, log, amp File "/modelarts/authoring/notebook-conda/envs/mindaspore_work/lib/python3.7/site-packages/mindspore/mindrecord/__init__.py", line 30, in <module> from .tools.cifar10_to_mr import Cifar10ToMR File "/modelarts/authorin...
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 ...
start = time.time()for i in range(10):list_1 = np.array(np.arange(1,10000))list_1 = np.sin(list_1)print("使用Numpy用时{}s".format(time.time()-start)) 从如下运行结果,可以看到使用 Numpy 库的速度快于纯 Python 编写的代码: ...