jiangzhongshi
commented
2 years ago Hi,
It is likely that it’s a version difference, since the code is quite old. I can check later but I might be slow this week.
On Mon, Aug 1, 2022 at 3:31 AM DaddyWesker @.***> wrote:
Hello and thanks for your code.
Don't know if i'll get any answers, but anyway.
I'm trying to launch main.py (with default settings) in mesh_mnist folder (i've downloaded mesh mnist of course from the google drive links). Training is crashes on the line: outputs = model(inputs, laplacian, mask)
If we'll look deeper, it crashes here: xs = [x, torch.mm(L,x.view(-1, feat)).view(batch, node, feat)] (167 line of src/utils/utils_pt.py file).
It says The expanded size of the tensor (64) must match the existing size (503) at non-singleton dimension 0. Target sizes: [64, 64]. Tensor sizes: [503, 64]
It is torch.mm failing because L is (64,503,503) and x.view(-1, feat) is (32192, 64). By the way, as i know, torch.mm uses 2D tensors as input, no? Well, does anyone launched that and could advice something?
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DaddyWesker
Hello and thanks for your code.
Don't know if i'll get any answers, but anyway.
I'm trying to launch main.py (with default settings) in mesh_mnist folder (i've downloaded mesh mnist of course from the google drive links). Training crashes on the line:
outputs = model(inputs, laplacian, mask)If we'll look deeper, it crashes here:
xs = [x, torch.mm(L,x.view(-1, feat)).view(batch, node, feat)](167 line of src/utils/utils_pt.py file).It says
The expanded size of the tensor (64) must match the existing size (503) at non-singleton dimension 0. Target sizes: [64, 64]. Tensor sizes: [503, 64]It is torch.mm failing because L is (64,503,503) and x.view(-1, feat) is (32192, 64). By the way, as i know, torch.mm uses 2D tensors as input, no? Well, does anyone launched that and could advice something?