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Running
on
Zero
Running
on
Zero
import torch | |
import vox2seq | |
if __name__ == "__main__": | |
RES = 256 | |
coords = torch.meshgrid(torch.arange(RES), torch.arange(RES), torch.arange(RES)) | |
coords = torch.stack(coords, dim=-1).reshape(-1, 3).int().cuda() | |
code_z_cuda = vox2seq.encode(coords, mode='z_order') | |
code_z_pytorch = vox2seq.pytorch.encode(coords, mode='z_order') | |
code_h_cuda = vox2seq.encode(coords, mode='hilbert') | |
code_h_pytorch = vox2seq.pytorch.encode(coords, mode='hilbert') | |
assert torch.equal(code_z_cuda, code_z_pytorch) | |
assert torch.equal(code_h_cuda, code_h_pytorch) | |
code = torch.arange(RES**3).int().cuda() | |
coords_z_cuda = vox2seq.decode(code, mode='z_order') | |
coords_z_pytorch = vox2seq.pytorch.decode(code, mode='z_order') | |
coords_h_cuda = vox2seq.decode(code, mode='hilbert') | |
coords_h_pytorch = vox2seq.pytorch.decode(code, mode='hilbert') | |
assert torch.equal(coords_z_cuda, coords_z_pytorch) | |
assert torch.equal(coords_h_cuda, coords_h_pytorch) | |
print("All tests passed.") | |