GitLab

flax module with compute dtype inferred from the inputs
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Expose THD to flex MHA module
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* Enhance docs
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---------
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Fix issues when mask/sequence_descriptor is None
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JAX Lint Fix
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* fixes L1 test

* fix test_multigpu_encoder

* fixes for other multi-encoder tests

* jax.extend.ffi to jax.ffi

* initialization with float32

* add init_dtype as an optional arg to all modules

* update use_scan query from xla flags

* relax threshold for test_encoder fp8

* relax the tols

---------
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* initialization with weight_dtype
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* flax module to init params with given dtype
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* all tests passed
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* remove unneccessary reshape for kernel
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* remove casting output of dot
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* clean up
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* POC for segment_ids/segment_pos
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* Change segment_pos position
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* Test mask_descriptor for accomendating different mask representations
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* Fix bugs
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* Move seqlens/offsets generation to mask descriptor
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* Rename MaskDescriptor to SequenceDescriptor
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* Generalize get_seqlens_and_offsets
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* Utilize sequence desc on FA bwd
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* Fix seed shardings
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* Optimize seq_offsets calculation
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* Remove reduntant line
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Correct fused attention output after each step to reduce intermediate memory use.
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* Fix SWA mask for THD and forcing seqlen_kv >= seqlen_q for SWA
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* Generalize sliding window mask
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* softmax custom calls with correct encapsulates

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* Bug Fix: Use default factory for not sharing mutable default values
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fix an int conversion error
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* added prepare phase for the FusedAttnForwardFFI

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* FFI for some transpose & activation functions
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Update jax version for ffi
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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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* Add FFI_CudaGraph_Traits

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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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* 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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