GitLab

Correct fused attention output after each step to reduce intermediate memory use.
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the current implementation would release the output of ln, leading to an error if setting `return_layernorm_output=True`.
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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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* Fix pylint
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* add swa (left,0) + padding + brcm support
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* final fixes
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* upgrade to FE 1.9-rc
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* fix jax tests
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* skip thd + CP + fused attn tests for cuDNN 9.6+ due to different stats shapes
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* Move test distributed encoder to L0 distributed test suit

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* WIP: fix get_swa_mask for padding
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* fix lint
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* revamp to get full mask
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add weights_only=False for torch.load
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* Add util functions to attn_mask_type
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* Add util functions to qkv_layout
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* Fix THD cross reference code
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* Remove explicit segment_pad, encoding it to segment_ids
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* Add jax.jit, replace _token with segment_ids, rename bias shape enum
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* Add comment for make_mask
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* Clean code
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* Add doc strings for the added functions
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* Remove cache for fa deterministic which causes UT failed
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* Rename fixture to avoid conflict
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add max_t for KV
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* fix lint error
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* fix lint error
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* softmax custom calls with correct encapsulates

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* fix ctx.aval_out indexing for workspace
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* Bug Fix: Use default factory for not sharing mutable default values
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Debug Mcore integration test

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* always have padding mask type for both flash and fused attentions
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* remove an redundant assert
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Debug jobs to deploy nightly docs
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Scale sequence length in CP tests to avoid tiny sizes.
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* draft implementation
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* compile error fix
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* fix the version guard
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* Update list of CI users
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* Update list of CI users
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* retain_graph=True for grouped gemm
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* remove an unnecessary retain_graph=True
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* typo fix
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Moved framework agnostic THD kernels to common.

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* Align RNG tracker with megatron
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* Fix module_params order and warmup bug in cudagraph
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* Add TE modules and weights filters to support MoE models
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* Revert self.fp8
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* Format Update
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* Add helper function to convert C++ container to string
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