github facebookresearch/xformers v0.0.19
Bugfixes & perf improvement for `memory_efficient_attention`

latest releases: v0.0.28.post3, v0.0.28.post2, v0.0.28.post1...
20 months ago

[0.0.19] - 2023-04-28

Added

  • Display nvcc version used to compile xformers in python -m xformers.info

Fixed

  • Fixed performance regression with nvcc>11.6 (#712)
  • fMHA/cutlass: Fixed nan in the output when using a torch.Tensor with -inf prefixes as attn_bias (#722)
  • fMHA/cutlass: Fixed nan in the output when the sequence length is larger than 2 ** 15 (#719)
  • fMHA/cutlass: Significative performance improvements (up to 2x) for both the forward pass and backward pass
  • fMHA/cutlass: The kernel are now deterministic
  • fMHA/cutlass: Fixed backward pass correctness when using dropout (#724)

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