英文:
RuntimeError: Expected all tensors to be on the same device?
问题
我在这里得到了运行时错误：
RuntimeError: 预期所有张量都在相同的设备上，但至少找到两个设备，cuda:0 和 cpu！（在检查方法 wrapper_CUDA_addmm 中的参数 mat1 时）
然而，我在这里创建的所有张量都在cuda上。有谁知道问题是什么吗？
import torch.nn as nn
import torch
class MyModel(nn.Module):
def __init__(self):
super().__init__()
self.lin = nn.Linear(5, 1)
self.trans = nn.Transformer(nhead=1, num_encoder_layers=1, d_model=5)
def forward(self, x):
tgt = torch.rand(4, 5).to(device)
y = self.trans(x, tgt)
out = self.lin(y)
return out
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
model = MyModel()
model.to(device)
model.eval()
src = torch.rand(4, 5)
out = model(src)
print(out)
另外，是否有一些PyTorch命令可以用来列出设备上的所有张量？
英文:
I am getting this runtime error here:
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument mat1 in method wrapper_CUDA_addmm)
However, all the tensors I've created here are on cuda. Does anyone know what the problem is?
import torch.nn as nn
import torch
class MyModel(nn.Module):
def __init__(self):
super().__init__()
self.lin = nn.Linear(5,1)
self.trans = nn.Transformer(nhead=1, num_encoder_layers=1, d_model=5)
def forward(self, x):
tgt = torch.rand(4, 5).to(device)
y = self.trans(x, tgt)
out = self.lin(y)
return out
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
model = MyModel()
model.to(device)
model.eval()
src = torch.rand(4,5)
out = model(src)
print(out)
Also, is there some pytorch command I can use to list all tensors on a device?
答案1
得分: 1
src 在 CPU 上。
# src = torch.rand(4,5)
src = torch.rand(4,5).to(device)
英文:
src is on cpu.
# src = torch.rand(4,5)
src = torch.rand(4,5).to(device)
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