module 'torchsparse.backend' has no attribute 'build_kernel_map_subm_hashmap'

[agryji08]

---

AttributeError Traceback (most recent call last)
Cell In[4], line 6
4 with torch.no_grad():
5 for i, layer in enumerate(model.encoder):
----> 6 x = layer(x)
7 print(f"Encoder layer {i+1}: coords shape={x.coords.shape}, feats shape={x.feats.shape}")

File /common/schnablelab/zji7/tspxx/lib/python3.9/site-packages/torch/nn/modules/module.py:1501, in Module._call_impl(self, *args, **kwargs)
1496 # If we don't have any hooks, we want to skip the rest of the logic in
1497 # this function, and just call forward.
1498 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
1499 or _global_backward_pre_hooks or _global_backward_hooks
1500 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1501 return forward_call(*args, **kwargs)
1502 # Do not call functions when jit is used
1503 full_backward_hooks, non_full_backward_hooks = [], []

File /common/schnablelab/zji7/tspxx/lib/python3.9/site-packages/torchsparse/nn/modules/conv.py:98, in Conv3d.forward(self, input)
96 def forward(self, input: SparseTensor) -> SparseTensor:
---> 98 return F.conv3d(
99 input,
100 weight=self.kernel,
101 kernel_size=self.kernel_size,
102 bias=self.bias,
...
---> 48 func = torchsparse.backend.build_kernel_map_subm_hashmap
49 else:
50 func = torchsparse.backend.build_kernel_map_downsample_hashmap

AttributeError: module 'torchsparse.backend' has no attribute 'build_kernel_map_subm_hashmap'

using pip install git+https://github.com/mit-han-lab/torchsparse.git install

without error pytorch=2.01， cuda 11.7 python 3.9

[y4my4my4m]

same error

[Percyx0313]

same error , I also tried pytorch=2.1 , 1.13.1 , 2.4
Does any one solve it ?