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Hi,
Still new to all of this so I'm not sure if this problem is caused by some underlying problem in my framework.
On line 130 of gradfuns.lua: return torch.narrow(g, dim, torch.size(x, dim) + 1, torch.size(y, dim))
torch.size(x,dim) errors at some point.
The function is called multiple times.
First x is a tesor of size 3000x10, later 3000x9 and so on... and dim is 2. So far no problem.
Finally x is a vector of 3000 and dim is 2 -> error.
I fixed it for me by adding a few lines of code:
if (torch.nDimension(x)>1) then
size_x_dim = torch.size(x, dim)
else
size_x_dim = 1
end
local size_y_dim
if (torch.nDimension(y)>1) then
size_y_dim = torch.size(y, dim)
else
size_y_dim = 1
end
return torch.narrow(g, dim, size_x_dim + 1, size_y_dim)
Not the nicest way, but working.
I'm not sure why the code is not giving x as a tensor of size 3000x1 instead of a vector of size 3000?
Thanks,
Jonas
The text was updated successfully, but these errors were encountered:
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Hi,
Still new to all of this so I'm not sure if this problem is caused by some underlying problem in my framework.
On line 130 of gradfuns.lua:
return torch.narrow(g, dim, torch.size(x, dim) + 1, torch.size(y, dim))
torch.size(x,dim) errors at some point.
The function is called multiple times.
First x is a tesor of size 3000x10, later 3000x9 and so on... and dim is 2. So far no problem.
Finally x is a vector of 3000 and dim is 2 -> error.
I fixed it for me by adding a few lines of code:
Not the nicest way, but working.
I'm not sure why the code is not giving x as a tensor of size 3000x1 instead of a vector of size 3000?
Thanks,
Jonas
The text was updated successfully, but these errors were encountered: