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ARM64 torch_cluster.radius bug

Open JSSchmidt opened this issue 1 year ago • 1 comments
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When executing torch_cluster.radius on my MacBook Pro 16-inch(Nov 2023, M3 Pro) even a minimal working example gives an error message. Problem does NOT persist on Server Ubuntu 22.04.4.

Minimum working example:

`from torch_cluster import radius import torch

radius(torch.tensor([[0, 0], [1, 0], [0, 1], [1, 1]]), torch.tensor([[0, 0], [1, 0], [0, 1], [1, 1]]), r=1.5)`

`--------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) Cell In[4], line 4 1 from torch_cluster import radius 2 import torch ----> 4 radius(torch.tensor([[0, 0], [1, 0], [0, 1], [1, 1]]), torch.tensor([[0, 0], [1, 0], [0, 1], [1, 1]]), r=1.5)

File ~/micromamba/envs/mldft/lib/python3.11/site-packages/torch_cluster/radius.py:82, in radius(x, y, r, batch_x, batch_y, max_num_neighbors, num_workers, batch_size) 79 ptr_x = torch.bucketize(arange, batch_x) 80 ptr_y = torch.bucketize(arange, batch_y) ---> 82 return torch.ops.torch_cluster.radius(x, y, ptr_x, ptr_y, r, 83 max_num_neighbors, num_workers)

File ~/micromamba/envs/mldft/lib/python3.11/site-packages/torch/ops.py:854, in OpOverloadPacket.call(self, *args, **kwargs) 846 def call(self_, *args, **kwargs): # noqa: B902 847 # use self_ to avoid naming collide with aten ops arguments that 848 # named "self". This way, all the aten ops can be called by kwargs. (...) 852 # We save the function ptr as the op attribute on 853 # OpOverloadPacket to access it here. --> 854 return self_._op(*args, **(kwargs or {}))

RuntimeError: x.dim() == 2 INTERNAL ASSERT FAILED at "csrc/cpu/radius_cpu.cpp":13, please report a bug to PyTorch. Input mismatch`

JSSchmidt avatar Jun 11 '24 09:06 JSSchmidt