Yuanle Liu 253c5cc16c Improve deep_ep import handling with logging (#6207) ...

* Improve deep_ep import handling with logging

Refactor deep_ep import logic to handle PaddleFleet and PFCCLab imports with error logging.

* Add traceback import to ep.py

2026-01-24 22:41:42 -08:00

..

attention

Support MXFP4 for GPT-OSS (#5435)

2026-01-22 14:21:01 +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

Improve deep_ep import handling with logging (#6207)

2026-01-24 22:41:42 -08:00

pool

[Feature] support reward model (#5301)

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

quantization

Support MXFP4 for GPT-OSS (#5435)

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

sample

[Feature]Support tag phase token enforce generation (#6034)

2026-01-15 03:59:55 -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

Support MXFP4 for GPT-OSS (#5435)

2026-01-22 14:21:01 +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

[Models] Add Qwen3-VL Model Support (#5763)

2025-12-29 17:39:33 +08:00

utils.py

add scale_wrapper for per_block_cast_to_fp8 (#6183)

2026-01-23 00:37:20 -08:00