eaten-cake commented on issue #17989:
URL: https://github.com/apache/tvm/issues/17989#issuecomment-2889903708
Sorry, the reproduction code above is incorrect. Here's the corrected one:
```python
import tvm
from tvm import dlight as dl
from tvm.relax.frontend.torch import from_exported_program
import torch
class Unbind(torch.nn.Module):
def forward(self, x):
return torch.unbind(x, dim=0)
model = Unbind()
x = torch.randn(2, 3, 4)
exported_program = torch.export.export(model, (x,))
mod = from_exported_program(exported_program)
dev = tvm.cuda(0)
target = tvm.target.Target.from_device(dev)
with target:
mod = tvm.relax.transform.LegalizeOps()(mod)
mod = dl.ApplyDefaultSchedule(
dl.gpu.Fallback(),
)(mod)
mod.show()
ex = tvm.relax.build(mod, target)
x_tvm = tvm.nd.from_dlpack(x)
x_tvm = x_tvm.copyto(dev)
vm = tvm.relax.VirtualMachine(ex, dev)
out = vm["main"](x_tvm)
print(out)
```
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