Please follow semantic versioning 0.6.13 is not backward with 0.6.12

The 0.6.13 version is not backward compatible to 0.6.12 while version increment only seems to be a patch.

https://semver.org/

  File "/usr/local/lib/python3.8/dist-packages/torch_geometric/data/data.py", line 3, in <module>
    from torch_geometric.typing import OptTensor, NodeType, EdgeType
  File "/usr/local/lib/python3.8/dist-packages/torch_geometric/typing.py", line 4, in <module>
    from torch_sparse import SparseTensor
  File "/usr/local/lib/python3.8/dist-packages/torch_sparse/__init__.py", line 41, in <module>
    from .tensor import SparseTensor  # noqa
  File "/usr/local/lib/python3.8/dist-packages/torch_sparse/tensor.py", line 13, in <module>
    class SparseTensor(object):
  File "/usr/local/lib/python3.8/dist-packages/torch/jit/_script.py", line 974, in script
    _compile_and_register_class(obj, _rcb, qualified_name)
  File "/usr/local/lib/python3.8/dist-packages/torch/jit/_script.py", line 67, in _compile_and_register_class
    torch._C._jit_script_class_compile(qualified_name, ast, defaults, rcb)
RuntimeError: 
Tried to access nonexistent attribute or method 'crow_indices' of type 'Tensor'.:
  File "/usr/local/lib/python3.8/dist-packages/torch_sparse/tensor.py", line 109
    def from_torch_sparse_csr_tensor(self, mat: torch.Tensor,
                                     has_value: bool = True):
        rowptr = mat.crow_indices()
                 ~~~~~~~~~~~~~~~~ <--- HERE
        col = mat.col_indices()

I have a model that was trained in 0.6.12. When reloading the model in a fresh environment with the new version, the previous error occurs.

Did you bump the minimum torch version in dependencies?

Regards,

[rusty1s]

You can stay on 0.6.12 if you are using PyTorch 1.9.

[rusty1s]

I see. The minimum PyTorch version required is now indeed PyTorch 1.10.0. Everything else is fully backward compatible.