GitLab

Remove xla_ignore_channel_id check and ignore Scan loop warning in unit test
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* Fix wheel install after src install
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* Fix JAX imports
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* Support THD + ring attention for self attn
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* Fixup
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* Expose THD to flex MHA module
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* Enhance docs
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* flax module to init params with given dtype
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* all tests passed
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* segment_ids/pos support POC
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* Move seqlens/offsets generation to mask descriptor
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* Rename MaskDescriptor to SequenceDescriptor
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Correct fused attention output after each step to reduce intermediate memory use.
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* Remove cache for fa deterministic which causes UT failed
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* FFI for all softmax functions
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* Implement ring attention primative for Jax.
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[JAX] XLA Custom Calls with FFI for FusedAttnFwd, Quantize, Transpose, ActLuFP8, LayerNormForwardFP8FFI, and LayerNormBackwardFFI (#1263)

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* Minor fix
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[JAX] Fix correctness of JAX fused attention with CP and improve numerics check in unit tests (#1282)

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fixed assertion bug for SWA
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Update test to check support for context parallel attention.
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* No SWA in context parallel; fix RNG seed in test
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* Revised following Reese Wang's comments

Still need further debugging:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-KV_PACKED-NO_MASK-NO_BIAS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-KV_PACKED-NO_MASK-POST_SCALE_BIAS-1HSS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-SEPARATE-NO_MASK-NO_BIAS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-SEPARATE-NO_MASK-POST_SCALE_BIAS-1HSS] - AssertionError:

These errors does not exist in the previous commit
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* Fix no-SWA test case errors in previous commit
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Implementation of context parallel fused attention using all-gather.
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