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FBGEMM Releases

FBGEMM Releases Compatibility Table

FBGEMM is released in accordance to the PyTorch release schedule, and is each release has no guarantee to work in conjunction with PyTorch releases that are older than the one that the FBGEMM release corresponds to.

FBGEMM Release

Corresponding PyTorch Release

Supported Python Versions

Supported CUDA Versions

Supported CUDA Architectures

(Experimental) Supported ROCm Versions

(Experimental) Supported ROCm Architectures

1.2.0

2.7.x

3.9, 3.10, 3.11, 3.12, 3.13

11.8, 12.6, 12.8

7.0, 8.0, 9.0, 9.0a, 10.0, 10.0a, 12.0, 12.0a

6.1, 6.2.4, 6.3

gfx908, gfx90a, gfx942

1.1.0

2.6.x

3.9, 3.10, 3.11, 3.12, 3.13

11.8, 12.4, 12.6

7.0, 8.0, 9.0, 9.0a

6.1, 6.2.4, 6.3

gfx908, gfx90a, gfx942

1.0.0

2.5.x

3.9, 3.10, 3.11, 3.12

11.8, 12.1, 12.4

7.0, 8.0, 9.0, 9.0a

6.0, 6.1

gfx908, gfx90a

0.8.0

2.4.x

3.8, 3.9, 3.10, 3.11, 3.12

11.8, 12.1, 12.4

7.0, 8.0, 9.0, 9.0a

6.0, 6.1

gfx908, gfx90a

0.7.0

2.3.x

3.8, 3.9, 3.10, 3.11, 3.12

11.8, 12.1

7.0, 8.0, 9.0

6.0

gfx908, gfx90a

0.6.0

2.2.x

3.8, 3.9, 3.10, 3.11, 3.12

11.8, 12.1

7.0, 8.0, 9.0

5.7

gfx90a

0.5.0

2.1.x

3.8, 3.9, 3.10, 3.11

11.8, 12.1

7.0, 8.0, 9.0

5.5, 5.6

gfx90a

0.4.0

2.0.x

3.8, 3.9, 3.10

11.7, 11.8

7.0, 8.0

5.3, 5.4

gfx90a

Note that the list of supported CUDA and ROCm architectures refer to the targets support available in the default installation packages, and that building for other architecures may be possible, but not guaranteed.

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FBGEMM Release Notes

Docs

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Tutorials

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Resources

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