參考博文
https://blog.csdn.net/JohnLeeK/article/details/106387864
https://blog.csdn.net/weixin_45092662/article/details/105927948
一、確保已經安裝了 anaconda和cuda
安裝anaconda,python,pycharm,cuda的參考博文
如何查看已經安裝的cuda版本:
開始菜單->Anaconda3—>Anaconda Prompt,輸入指令:nvidia-smi 按回車,運行如下,表明我的電腦上安裝的是cuda10.1的版本。
二、pytorch官網
https://pytorch.org/ 可惜無法訪問
三、安裝步驟
1、開始菜單->Anaconda3—>Anaconda Prompt,輸入指令:conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
打印出如下所示的信息。
2、選擇,yes
出現了下載失敗的問題
3、上面的報錯是下載失敗導致的。正如提示,簡單的再試一下,或許就可以了。
四、pytorch測試
1、開始菜單->Anaconda3—>Anaconda Prompt 輸入:python。進入python環境。
2、輸入:import porch。如果沒有報錯,就表示安裝成功。
3、pycharm中運行代碼,有輸出,表明安裝ok
import torch
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
# 1 input image channel, 6 output channels, 5x5 square convolution
# kernel
self.conv1 = nn.Conv2d(1, 6, 5)
self.conv2 = nn.Conv2d(6, 16, 5)
# an affine operation: y = Wx + b
self.fc1 = nn.Linear(16 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
def forward(self, x):
# Max pooling over a (2, 2) window
x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
# If the size is a square you can only specify a single number
x = F.max_pool2d(F.relu(self.conv2(x)), 2)
x = x.view(-1, self.num_flat_features(x))
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
def num_flat_features(self, x):
size = x.size()[1:] # all dimensions except the batch dimension
num_features = 1
for s in size:
num_features *= s
return num_features
net = Net()
print(net)