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Description
This issue describes the compatibility matrix between torchao releases and its dependencies. If you are seeing an error when importing torchao
that looks like this,
(pytorch_nightly) [[email protected] ~/local]$ python -c "import torchao"
Fatal Python error: Aborted
then most likely you can resolve this error by ensuring that the torch
version in your environment is compatible with the torch
version used to build your torchao
version.
torch
torchao version | torch version | torch version, torchao's Python API only |
---|---|---|
0.14.x (nightly) | 2.9.0 (nightly) | 2.9.0 (fix needed to relax this) |
0.13.0 | 2.8.0 | 2.8.0, 2.7.1, 2.6.0 |
0.12.0 | 2.7.1, 2.6.0, 2.5.0 | n/a |
fbgemm_gpu
torchao
has an optional runtime dependency on fbgemm_gpu
. Please see https://docs.pytorch.org/FBGEMM/general/Releases.html for the compatibility matrix for fbgemm_gpu
. Note that while torchao
's Python API supports multiple torch
versions, each fbgemm_gpu
version only supports a single torch
version. Therefore, if you are using torchao
together with fbgemm_gpu
, you should use the torch
version corresponding to your fbgemm_gpu
version.