fxyfxy777 2ada119a38 [Optimize] optimize mask_quant & swiglu (#6222) ...

* optimize mask_quant op speed up 1.5

* fix calculate sequence

* add fused

* rm log

* push kernel code

* add ut

* accuracy ok

* add ue8m0

* add ut

* add merge develop

* rm ut of mask_per_token_quant

2026-02-02 13:52:38 +08:00

..

attention

[Others] enhance deep_ep import and support mixed mode flash_mask_attn (#6238)

2026-01-28 00:02:02 +08:00

backends

[XPU] change XPU EP interface from xDeepEP to paddle (#5706)

2026-01-21 18:23:45 +08:00

batch_invariant_ops

[Deterministic] Move paddle version batch invariant pkg to Fastdeploy (#4763)

2025-12-01 11:25:48 +08:00

moe

[Optimize] optimize mask_quant & swiglu (#6222)

2026-02-02 13:52:38 +08:00

pool

[Feature] support reward model (#5301)

2025-12-02 14:55:31 +08:00

quantization

Revert "[Feature] Support Ernie FP8 on sm100 (#5593)" (#6275)

2026-01-30 11:22:01 +08:00

sample

[Metax] adapt to the latest develop (#6282)

2026-01-29 23:21:20 -08:00

__init__.py

[LLM] First commit the llm deployment code

2025-06-09 19:20:15 +08:00

activation.py

[Feature] Unify fp8 block_wise quant ops (#5991)

2026-01-15 05:50:37 -08:00

embeddings.py

[Model] tp+ep support v1_loader (#5465)

2025-12-18 14:31:54 +08:00

linear.py

[Models][BugFix] shared experts and dense mlp layer do not require TP split (#6180)

2026-01-28 18:58:19 +08:00

lm_head.py

[Model] tp+ep support v1_loader (#5465)

2025-12-18 14:31:54 +08:00

mtp_linear.py

[Model] tp+ep support v1_loader (#5465)

2025-12-18 14:31:54 +08:00

normalization.py

Support MXFP4 for GPT-OSS (#5435)

2026-01-22 14:21:01 +08:00

pooler.py

[Feature] support reward model (#5301)

2025-12-02 14:55:31 +08:00

rotary_embedding.py

[Metax] adapt to the latest develop (#6282)

2026-01-29 23:21:20 -08:00

utils.py

Revert "[Feature] Support Ernie FP8 on sm100 (#5593)" (#6275)

2026-01-30 11:22:01 +08:00