I installed pytorch gpu ver. on my mac with eGPU.
Tensor and Variable are separated with cpu. However, with gpu, Tensor is not created but Variable.
I have not seen yet any error about this issue e.g. dataset or dataloader.
Why does it happen?
Will not there be any problems?
test code following
x = torch.randn(2,2)
print(x)
print(type(x))
# RuntimeError: cannot call .data on a torch.Tensor: did you intend to use autograd.Variable?
print(x.data) # comment in cpu ver
print(type(x.data)) # comment in cpu ver
y = Variable(x)
print(y)
print(type(y))
print(y.data)
print(type(y.data))
output on gpu ver.
0.3674 0.7864
-1.3684 0.5154
[torch.FloatTensor of size (2,2)]
<class 'torch.autograd.variable.Variable'>
0.3674 0.7864
-1.3684 0.5154
[torch.FloatTensor of size (2,2)]
<class 'torch.autograd.variable.Variable'>
0.3674 0.7864
-1.3684 0.5154
[torch.FloatTensor of size (2,2)]
<class 'torch.autograd.variable.Variable'>
0.3674 0.7864
-1.3684 0.5154
[torch.FloatTensor of size (2,2)]
<class 'torch.autograd.variable.Variable'>
output with cpu ver.
1.1078 -0.8237
1.3302 0.4462
[torch.FloatTensor of size 2x2]
<class 'torch.FloatTensor'>
Variable containing:
1.1078 -0.8237
1.3302 0.4462
[torch.FloatTensor of size 2x2]
<class 'torch.autograd.variable.Variable'>
1.1078 -0.8237
1.3302 0.4462
[torch.FloatTensor of size 2x2]
<class 'torch.FloatTensor'>