PyTorch查看模型和数据是否在GPU上
Example
import torch
import torch.nn as nn
# ----------- 判断模型是在CPU还是GPU上 ----------------------
model = nn.LSTM(input_size=10, hidden_size=4, num_layers=1, batch_first=True)
print(next(model.parameters()).device) # 输出:cpu
model = model.cuda()
print(next(model.parameters()).device) # 输出:cuda:0
model = model.cpu()
print(next(model.parameters()).device) # 输出:cpu
# ----------- 判断数据是在CPU还是GPU上 ----------------------
data = torch.ones([2, 3])
print(data.device) # 输出:cpu
data = data.cuda()
print(data.device) # 输出:cuda:0
data = data.cpu()
print(data.device) # 输出:cpu
因上求缘,果上努力~~~~ 作者:图神经网络,转载请注明原文链接:https://www.cnblogs.com/BlairGrowing/p/16009160.html