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mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2026-04-24 01:29:57 +08:00
Code Issues Actions 11 Packages Projects Releases Wiki Activity
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870dbac370602cdf3a2f3eb9ea456d7da0ed0f12
FastDeploy/fastdeploy/model_executor/layers
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K11OntheBoat 870dbac370 Use triton qk_norm both in Prefill and Decode (#7213)
Co-authored-by: “liuruian” <liuruian@baidu.com>
2026-04-10 15:44:01 +08:00
..
attention
[BugFix] Fix batch_size derivation and relax shape checks in SM90 flash_mask_attn (#7210)
2026-04-09 11:05:10 +08:00
backends
Split enable_mm (#7183)
2026-04-08 11:25:41 +08:00
batch_invariant_ops
[Optimization] Use a separate driver when using Triton with Paddle (#6897)
2026-03-24 10:56:00 +08:00
moe
[OP]Unify MoE op with moe_permute path for bf16 GLM (#7164)
2026-04-09 16:17:56 +08:00
pool
…
quantization
[FDConfig] Support CLI args for quantization params and add cudagraph validation (#7281)
2026-04-10 14:13:42 +08:00
sample
[XPU] Refactor pre process (#6993)
2026-04-01 20:29:55 +08:00
__init__.py
…
activation.py
…
embeddings.py
…
linear.py
[Optimization] merge matmul and add (#6986)
2026-04-03 18:02:03 +08:00
lm_head.py
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mtp_linear.py
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normalization.py
Use triton qk_norm both in Prefill and Decode (#7213)
2026-04-10 15:44:01 +08:00
pooler.py
…
rotary_embedding.py
…
utils.py
[Feature] Support NVFP4 Flashinfer-cutedsl MoE on SM100 (#6963)
2026-03-30 11:37:04 +08:00
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