6c685c9474
Revert "[Feature] Support Ernie FP8 on sm100 ( #5593 )" ( #6275 )
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This reverts commit eb80724b71
2026-01-30 11:22:01 +08:00
44b52701f6
[Feature] Support NVFP4 MoE on SM100 ( #6003 )
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* fp4 dense
* [WIP] support nvfp4, dense part
* [wip] developing loading qwen model
* loading
* update
* dense fp4 OK, cudagraph error
* [WIP] moe forward part
* with flashinfer-backend
* qwen3_moe_fp4
* update
* support flashinfer-cutlass moe, qwen3-moe-fp4 OK
* support ernie4.5-fp4
* fix load error
* add some ut
* add docs
* fix CLA, test
* fix the apply() in ModelOptNvFp4FusedMoE
* fix CodeStyle
* del the PADDLE_COMPATIBLE_API
* fix broken url: nvidia_gpu.md
* fix docs
* fix token_ids
* fix CI in Hopper
* move flashinfer imports inside the function
* fix model_runner
Removed the logic for generating random padding IDs.
* Remove skip condition for CUDA version in nvfp4 test
* add test for nvfp4
* fix according to review
* Add Chinese translation link to NVFP4 documentation
* del flashinfer.py
* fix unittest
---------
Co-authored-by: zoooo0820 <zoooo0820@qq.com >
Co-authored-by: bukejiyu <395822456@qq.com >
2026-01-29 14:16:07 +08:00
eb80724b71
[Feature] Support Ernie FP8 on sm100 ( #5593 )
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* Deepgemm暂时可用版本
* dense部分 e8m0 ok
* EB模型E8M0跑通的版本
* code check
* support 21b-tp2, dev_paddle
* 单机4.5T ep OK的版本
* 修复删除的代码,单机4.5T ep(非cudagraph)
* eb tp
* Support SM100 block-wise FP8 inference
* refine codes, support deepgemm on sm100
* add thirdparty PFCC/DeepGEMM
* fix ep decode
* 使用deepep ue8m0, 解决精度问题
* 修复FP8 TP精度
* Deepgemm升级适配Hopper逻辑
* add ue8m0 kernel
* add ue8m0 kernel
* fix custom_ops/gpu_ops/cpp_extensions.cc
* eb 输出正常
* eb5 text is right
* 目测精度一致
* 自测精度对齐
* 替换masked_per_token_quant, ep精度OK
* 性能提升约30%
* 暂时跑通ep但是有问题
* 自测一致
* rm test fun
* fix ep event
* 图优化算子更新Deepgemm
* fix build
* 暂时绕过deepgemm CI编译问题
* 根据SM区分deepgemm版本
* remove useless code
---------
Co-authored-by: ckl117 <ckl117@163.com >
Co-authored-by: K11OntheBoat <“ruianmaidanglao@163.com ”>
Co-authored-by: fxyfxy777 <fxyfxy777@163.com >
2026-01-29 13:49:54 +08:00
08c411518f
[Loader] support dummy load weight ( #6169 )
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* [Loader] support dummy load weight
* [Loader] support dummy load weight v2
* [Loader] support dummy load weight unittest
* [Loader] support dummy load weight unittest v2
* [Loader] support dummy load weight v3 docs and fp8
2026-01-26 13:58:53 +08:00
82057cb71f
Support MXFP4 for GPT-OSS ( #5435 )
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* support mxfp4 in gpt-oss
* support mxfp4 in gpt-oss
* add scope for flashinfer
* remove torch code
* update envs.FD_MXFP4_BACKEND
* update process_weights_after_loading
* update env name
* support tp in gpt-oss, add e2e test
* add flashinfer-python-paddle in requirements
* fix import error
* add test
* add test
* add test
* add test
2026-01-22 14:21:01 +08:00
4c92035f2d
[Feature] Unify fp8 block_wise quant ops ( #5991 )
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* quant stash
* blockwise_quant
* precommit
* rm tensor.cut
* tp ok
* add swiglu
* rm outdate code
* fix activate ut
* change baseline
* fix baseline error
2026-01-15 05:50:37 -08:00
acdf0cd1d9
fix hadamard_block_size ( #5888 )
2026-01-06 14:12:14 +08:00
44a13e4557
[Feature] support w4afp8 v1_loader and v0_loader(tp>1) ( #5757 )
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* support
* fix
* support w4afp8 v1_loader and v0_loader
* fix
* fix test
* fix test
* fix test
* fix moe.py
* add test_ernie_4_5_w4afp8
* add test
* delete tensor
* fix test
* fix
* add
* fix test
2025-12-30 14:11:52 +08:00
11227e00bb
[GraphOptimization] Wrap deep gemm and triton as python op ( #5673 )
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* [GraphOptimization] Wrap deep gemm and triton as python op
* add unitest to _base_test && compatibility
* paddle.static.MetaTensor -> "paddle.static.MetaTensor"
* mv register_custom_python_op
* rename yaml
---------
Co-authored-by: DrRyanHuang <zihaohuang@aliyun.com >
2025-12-24 15:23:46 +08:00
40f3897a4e
support w4afp8 moe offline permute & load ( #5613 )
2025-12-22 15:12:57 +08:00
d8587e987e
[Model] tp+ep support v1_loader ( #5465 )
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* [Model] tp+ep support v1_loader
* fix
* fix mtp_linear
* fix mtp_linear
* fix
* fix
* fix v0 loader
* fix
* Add get_tensor for ep
* fix linear weight_loader
* fix typo
* fix
2025-12-18 14:31:54 +08:00
8735cb5045
[XPU] refactor moe ffn ( #5501 )
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- remove BKCL_DISPATCH_ALL_GATHER
- support sparse mode
- support moe quant_method
2025-12-18 14:14:05 +08:00
404cf0ece4
[Intel HPU] enable tensor_wise_fp8 ( #5324 )
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* [Intel HPU] enable tensor_wise_fp8
* update code based on comments
* fix code style issue
* fix bug about RP 5138
* mv kv_cache modifications to HPU backend
* fix FP8 Precision Issues
* fix FP8 Precision Issues
* Add quantization UT
---------
Co-authored-by: yanfeich <yanfei.cheng@intel.com >
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com >
2025-12-17 16:45:03 +08:00
b8e4828373
[BugFix] fix dynamic c8 in v1 loader ( #5562 )
2025-12-15 04:07:54 -08:00
e397c4fba6
[Others] remove add_bias option ( #5425 )
2025-12-09 17:39:35 +08:00
be0c960260
[BugFix] dynamic cache kv block_wise_fp8 not need create layer.cache_k_scale ( #5362 )
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2025-12-03 05:32:59 -08:00
3629db4129
[Quantization] Support w4afp8 MoE dynamic quantization ( #5282 )
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* support dynamic activation quant for w4afp8
* support dynamic w4afp8
* add test
* fix
* fix
---------
Co-authored-by: zhoutianzi666 <17801055074@163.com >
2025-12-02 18:56:16 +08:00
e150a418d4
support moe offline quant ( #5142 )
2025-11-24 18:59:18 +08:00
43f0c7557e
[Feature] Add an unquantized option for MoE and Dense quant type ( #4813 )
2025-11-19 16:24:03 +08:00
ae7bee8122
【New Feature】W4afp8 supports per group quantization ( #4987 )
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* w4afp8 支持per group
* code style
* fix transpose
* revert fast hardmard
---------
Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com >
Co-authored-by: plusNew001 <95567040+plusNew001@users.noreply.github.com >
2025-11-13 19:17:27 +08:00
9d9f5df8d0
[Metax] support default_v1 loader & thinking model ( #4956 )
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Co-authored-by: plusNew001 <95567040+plusNew001@users.noreply.github.com >
2025-11-12 16:32:26 +08:00
b09ebb2813
refactor pt loading ( #4532 )
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2025-11-11 21:30:39 +08:00
3dc0ffa46d
[TSP] Support qwen3 moe tsp + cudagraph ( #4871 )
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* support qwen3_moe tsp mode
* fix
* fix
* update
* update
* update
* fix
* support external_rmsnorm
* update
* fix
2025-11-10 23:37:51 +08:00
59d2edde29
[BugFix] Add support for weight shape constraints and group size selection in Machete ( #4911 )
2025-11-10 20:57:35 +08:00
819b2dbbae
Revert "【New Feature】W4afp8 supports per group quantization ( #4272 )" ( #4854 )
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This reverts commit 93fcf7e4ec
2025-11-06 17:48:28 +08:00
93fcf7e4ec
【New Feature】W4afp8 supports per group quantization ( #4272 )
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* w4afp8 支持per group
* code style
* 精度完成
* revert append attn utils
* ffn1 动态量化
* ffn2 支持动态量化
* code style
* code style
* 修改单测
* 修改单测
* fix bug
* Implement conditional parameter creation for layers
Add parameter creation for up_gate_proj_in_scale when ep_size > 1.
* code style
* fix conflict
* code style
* code style
* 修复w4aint8 精度
* fix ci
---------
Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com >
2025-11-05 21:00:23 +08:00
316f784016
fix wint2 config ( #4721 )
2025-10-31 15:44:14 +08:00
4ffe41a747
WINT4/WINT8 dense gemm default use Machete ( #4451 )
2025-10-23 17:57:59 +08:00
db82e9a022
[BugFix]Fix wfp8afp8 triton moe group_topk renormalized=True ( #4449 )
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* fix group_topk renormalized=True
* check test
2025-10-16 23:17:48 +08:00
26ff2f8683
[XPU] refine fused moe ( #4219 )
2025-10-16 19:04:07 +08:00
20c7b741f4
[XPU] Support W4A8C8-TP4-300B Model ( #4068 )
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* support w4a8
* delete ep block attn
* delete moe_topk_select
* update note
* update
* delte useless info
* update
* add some note
* fix some format
* update scale info
* add ans baseline
---------
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com >
2025-10-10 15:41:32 +08:00
7c919070f7
[Metax] support cutlass moe & optimize flash attention ( #4208 )
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2025-09-29 11:22:43 +08:00
aa1cc09c5b
fix machete pre quant ( #4295 )
2025-09-28 16:11:09 +08:00
7c1fd19f0f
[OPs] MoE support wfp8afp8(channelwise) and improve per_token_quant_fp8 ( #4238 )
2025-09-24 16:39:51 +08:00
3161014e49
[BugFix]fix v1 loader moe bf16, and supoort dynamic_load_weight create quant param ( #4229 )
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* fix v1 loader moe bf16, and supoort dynamic_load_weight create quant param
* include_stop_str_in_output=False not return eos text
2025-09-24 14:12:05 +08:00
c3b8ebeb18
[Optimize] Machete using group scale default ( #4121 )
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2025-09-18 13:51:11 +08:00
113e330030
fix bf16 and add comments ( #4106 )
2025-09-15 17:23:07 +08:00
9409665713
[xpu] support ep ( #4067 )
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2025-09-15 13:53:11 +08:00
29ed617f0f
[v1 loader]qwen Offline fp8 ( #4036 )
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* support offline fp8
* update ut
* update ut
* update ut
* fix
* update
* update
2025-09-15 13:44:11 +08:00
b1a5b756a3
[Optimize] Support WINT8 and group scale for Machete ( #3905 )
2025-09-15 12:01:34 +08:00
88ea565aba
[BugFix]Fix load kv cache quant scale ( #4077 )
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* fix kv cache
* fix kv_cache
* fix kv cache
2025-09-12 17:44:03 +08:00
805f29a06c
[Feature] refactor metax_gpu attention and moe and remove some useless code ( #3688 )
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Co-authored-by: yongqiangma <xing.wo@163.com >
2025-09-12 14:40:25 +08:00
4859f40b20
[Feature] GLM-45-AIR Support Mix Quantization(Dense wfp8afp8 and wint8 triton_moe_backend) ( #4051 )
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2025-09-11 20:08:09 +08:00
3b1da6e4dd
support v1 loader for machete ( #3999 )
2025-09-10 10:21:33 +08:00
b3fac5bde1
[V1 Loader] Ernie kv cache quant support v1 loader ( #3899 )
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* support c8 for ernie
* add unittest
* support vl
* fix c8
2025-09-09 05:25:08 -07:00
af49b81ffd
supports dynamic Cfp8 ( #3767 )
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* supports dynamic Cfp8
* add unittest
2025-09-07 20:41:29 -07:00
e52ce1c4b1
cache feature ( #3857 )
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2025-09-07 18:52:46 +08:00
2cf55168ca
load hadamard_block_size from config ( #3797 )
2025-09-05 17:07:58 +08:00
41aee08982
【Inference Optimize】Update MergedReplicatedLinear for DSK qkv_a_proj_with_mqa. ( #3673 )
...
* support MergedReplicatedLinear
* update MergedReplicatedLinear to support DSK_wint4 V1_load
* update model name
* update linear class
* fix
* fix v0 moe_bias load
---------
Co-authored-by: bukejiyu <52310069+bukejiyu@users.noreply.github.com >
2025-09-04 21:16:05 -07:00
ce998449e0
fix w8a8.py ( #3733 )
2025-09-03 10:57:26 +08:00
JYChen