TypeError：预期的 CPU（得到 CUDA）

Question

import torch
torch.cuda.is_available()
torch.cuda.current_device()
torch.cuda.get_device_name(0)
torch.cuda.memory_reserved()
torch.cuda.memory_allocated()
torch.cuda.memory_allocated()
var1=torch.FloatTensor([1.0,2.0,3.0]).cuda()
var1
var1.device
import pandas as pd
df=pd.read_csv('diabetes.csv')
df.head()
df.isnull().sum()

import seaborn as sns
import numpy as np
df['Outcome']=np.where(df['Outcome']==1,"Diabetic","No Diabetic")
df.head()
sns.pairplot(df,hue="Outcome")
X=df.drop('Outcome',axis=1).values### independent features
y=df['Outcome'].values###dependent features
from sklearn.model_selection import train_test_split

X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=0) y_train 进口火炬 将 torch.nn 导入为 nn 导入 torch.nn.functional 作为 F

X_train=torch.FloatTensor(X_train).cuda()
X_test=torch.FloatTensor(X_test).cuda()
y_train=torch.LongTensor(y_train).cuda()
y_test=torch.LongTensor(y_test).cuda()

当我运行这段代码时，我得到了这个错误：

Traceback (most recent call last):
  File "<stdin>", line 24, in <module>
TypeError: expected CPU (got CUDA)

我该如何解决这个错误？

Answer 1

要将变量传输到 GPU，请尝试以下操作：

device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')

X_train=torch.FloatTensor(X_train).to(device)
X_test=torch.FloatTensor(X_test).to(device)
y_train=torch.LongTensor(y_train).to(device)
y_test=torch.LongTensor(y_test).to(device)