Hi guys,
I was toying around with nn.Linear and 3d tensor inputs. When I entered the 3d tensor the grad_fn function is named <UnsafeViewBackward>. With a manually flatten 2d tensor, which I viewed back to a 3d tensor the grad_fn function is <ViewBackward>, like expected. Now I’m curious why it’s called ‘unsafe’ and if i rather should manually view the 3d tensor to 2d or enter it as 3d a tensor?
Code (not sure if nessecary):
import torch
import torch.nn as nn 

l1 = nn.Linear(4, 5, bias=False)
l1.weight = nn.Parameter(torch.ones(l1.weight.shape))

b, s, e = 2, 3, 4
a = torch.arange(0, b*s*e, dtype=torch.float).view(b, s, e)
print(a.shape)

out1 = l1(a)
out2 = l1(a.view(-1, e)).view(b, s, -1)

print(out1, out2, sep="\n")
print(torch.equal(out1, out2))