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Title: Pull requests · NVIDIA/TransformerEngine · GitHub

Open Graph Title: Pull requests · NVIDIA/TransformerEngine

X Title: Pull requests · NVIDIA/TransformerEngine

Description: A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference. - Pull requests · NVIDIA/TransformerEngine

Open Graph Description: A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance...

X Description: A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance...

Opengraph URL: https://github.com/NVIDIA/TransformerEngine

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[Common/PyTorch] Guard FP8 per-tensor scaling grouped GEMM on Hopper behind cuBLAS 13.5+https://github.com/NVIDIA/TransformerEngine/pull/3181
pggPLhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3ApggPL
1 https://github.com/NVIDIA/TransformerEngine/issues/3181/linked_closing_reference?reference_location=REPO_ISSUES_INDEX
5 https://github.com/NVIDIA/TransformerEngine/pull/3181
https://github.com/NVIDIA/TransformerEngine/pull/3181
Remove unused fused attention workspace optimization controlhttps://github.com/NVIDIA/TransformerEngine/pull/3180
ptrendxhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aptrendx
7 https://github.com/NVIDIA/TransformerEngine/pull/3180
https://github.com/NVIDIA/TransformerEngine/pull/3180
[Common] Upgrade CuDNN FE submodule commithttps://github.com/NVIDIA/TransformerEngine/pull/3179
phu0ngnghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aphu0ngng
2 https://github.com/NVIDIA/TransformerEngine/pull/3179
https://github.com/NVIDIA/TransformerEngine/pull/3179
grouped linear single param fixeshttps://github.com/NVIDIA/TransformerEngine/pull/3178
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
CarlosGomes98https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3ACarlosGomes98
Draft https://github.com/NVIDIA/TransformerEngine/pull/3178#partial-pull-merging
https://github.com/NVIDIA/TransformerEngine/pull/3178
Add Graph-safe NVFP4 CUTLASS Group GEMM to unified entry pointshttps://github.com/NVIDIA/TransformerEngine/pull/3175
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
cael-linghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Acael-ling
10 https://github.com/NVIDIA/TransformerEngine/pull/3175
https://github.com/NVIDIA/TransformerEngine/pull/3175
[PyTorch] Enable fused FP8 block-scaling path in GroupedLinear module and fusible opshttps://github.com/NVIDIA/TransformerEngine/pull/3171
2.18 https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3A2.18
FP8 https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3AFP8
MoE https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3AMoE
denerahttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Adenera
1 https://github.com/NVIDIA/TransformerEngine/issues/3171/linked_closing_reference?reference_location=REPO_ISSUES_INDEX
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3Adenera+is%3Aopen
9 https://github.com/NVIDIA/TransformerEngine/pull/3171
https://github.com/NVIDIA/TransformerEngine/pull/3171
Reverse MXFP8 quantization row rasterhttps://github.com/NVIDIA/TransformerEngine/pull/3170
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
sraman-rgbhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Asraman-rgb
3 https://github.com/NVIDIA/TransformerEngine/pull/3170
https://github.com/NVIDIA/TransformerEngine/pull/3170
Remove cuDNN frontend submodulehttps://github.com/NVIDIA/TransformerEngine/pull/3169
2.18 https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3A2.18
vcherepanov-nvhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Avcherepanov-nv
3 https://github.com/NVIDIA/TransformerEngine/pull/3169
https://github.com/NVIDIA/TransformerEngine/pull/3169
Add fused multi-tensor kernel for 1D blockwise FP8 quantizationhttps://github.com/NVIDIA/TransformerEngine/pull/3168
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
shangxiaokanghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Ashangxiaokang
Draft https://github.com/NVIDIA/TransformerEngine/pull/3168#partial-pull-merging
3 https://github.com/NVIDIA/TransformerEngine/pull/3168
https://github.com/NVIDIA/TransformerEngine/pull/3168
Bump transformers from 4.57.0 to 5.3.0 in /docs/examples/te_llamahttps://github.com/NVIDIA/TransformerEngine/pull/3167
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
dependencies https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Adependencies
python https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Apython
dependabothttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aapp%2Fdependabot
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3Asudhakarsingh27+is%3Aopen
https://github.com/NVIDIA/TransformerEngine/pull/3167
Bump transformers from 4.55.0 to 5.3.0 in /docs/examples/te_gemmahttps://github.com/NVIDIA/TransformerEngine/pull/3166
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
dependencies https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Adependencies
python https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Apython
dependabothttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aapp%2Fdependabot
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3Asudhakarsingh27+is%3Aopen
https://github.com/NVIDIA/TransformerEngine/pull/3166
Improve readability of dgrad overlap variablehttps://github.com/NVIDIA/TransformerEngine/pull/3165
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
Prachi-kushwahahttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3APrachi-kushwaha
1 https://github.com/NVIDIA/TransformerEngine/issues/3165/linked_closing_reference?reference_location=REPO_ISSUES_INDEX
2 https://github.com/NVIDIA/TransformerEngine/pull/3165
https://github.com/NVIDIA/TransformerEngine/pull/3165
[JAX] Add attention tutorialshttps://github.com/NVIDIA/TransformerEngine/pull/3162
2.18 https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3A2.18
documentation https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Adocumentation
KshitijLakhanihttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3AKshitijLakhani
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3AKshitijLakhani+is%3Aopen
11 https://github.com/NVIDIA/TransformerEngine/pull/3162
https://github.com/NVIDIA/TransformerEngine/pull/3162
[PyTorch] Add optional caller-provided output/grad-input buffers to GroupedLinear and fused grouped MLPhttps://github.com/NVIDIA/TransformerEngine/pull/3161
phu0ngnghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aphu0ngng
9 https://github.com/NVIDIA/TransformerEngine/pull/3161
https://github.com/NVIDIA/TransformerEngine/pull/3161
[Common][PyTorch] Add strided batched GEMM in BF16/MXFP8https://github.com/NVIDIA/TransformerEngine/pull/3160
org-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Aorg-contribution
yaox12https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Ayaox12
4 https://github.com/NVIDIA/TransformerEngine/pull/3160
https://github.com/NVIDIA/TransformerEngine/pull/3160
Migrate norms and softmax kernels to NVRTChttps://github.com/NVIDIA/TransformerEngine/pull/3156
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
CarlosGomes98https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3ACarlosGomes98
8 https://github.com/NVIDIA/TransformerEngine/pull/3156
https://github.com/NVIDIA/TransformerEngine/pull/3156
[PyTorch][torch.compile] Add TensorProto mechanismhttps://github.com/NVIDIA/TransformerEngine/pull/3153
pggPLhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3ApggPL
4 https://github.com/NVIDIA/TransformerEngine/pull/3153
https://github.com/NVIDIA/TransformerEngine/pull/3153
Enable FA4 for context-parallel attentionhttps://github.com/NVIDIA/TransformerEngine/pull/3149
sudhakarsingh27https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Asudhakarsingh27
Draft https://github.com/NVIDIA/TransformerEngine/pull/3149#partial-pull-merging
https://github.com/NVIDIA/TransformerEngine/pull/3149
[Draft] Use vendored cuDNN frontend for Pythonhttps://github.com/NVIDIA/TransformerEngine/pull/3148
vcherepanov-nvhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Avcherepanov-nv
6 https://github.com/NVIDIA/TransformerEngine/pull/3148
https://github.com/NVIDIA/TransformerEngine/pull/3148
Add MXFP8 support with cuBLASMphttps://github.com/NVIDIA/TransformerEngine/pull/3145
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
almogsegalhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aalmogsegal
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3Adenera+is%3Aopen
8 https://github.com/NVIDIA/TransformerEngine/pull/3145
https://github.com/NVIDIA/TransformerEngine/pull/3145
Add multi_tensor_raw_moments kernelhttps://github.com/NVIDIA/TransformerEngine/pull/3144
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
philipcmonkhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aphilipcmonk
Draft https://github.com/NVIDIA/TransformerEngine/pull/3144#partial-pull-merging
https://github.com/NVIDIA/TransformerEngine/pull/3144
[Common] Fix Build: NCCL EP build to respect MAX_JOBShttps://github.com/NVIDIA/TransformerEngine/pull/3138
phu0ngnghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Aphu0ngng
Draft https://github.com/NVIDIA/TransformerEngine/pull/3138#partial-pull-merging
4 https://github.com/NVIDIA/TransformerEngine/pull/3138
https://github.com/NVIDIA/TransformerEngine/pull/3138
[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFIhttps://github.com/NVIDIA/TransformerEngine/pull/3137
kainzhonghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Akainzhong
Draft https://github.com/NVIDIA/TransformerEngine/pull/3137#partial-pull-merging
https://github.com/NVIDIA/TransformerEngine/pull/3137
Single-launch CUTLASS grouped GEMM for per-tensor NVFP4https://github.com/NVIDIA/TransformerEngine/pull/3134
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
cael-linghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Acael-ling
https://github.com/NVIDIA/TransformerEngine/pulls?q=assignee%3Avthumbe1503+is%3Aopen
3 https://github.com/NVIDIA/TransformerEngine/pull/3134
https://github.com/NVIDIA/TransformerEngine/pull/3134
Enable NVFP4 RHT amax for grouped SReLU MLPhttps://github.com/NVIDIA/TransformerEngine/pull/3133
community-contribution https://github.com/NVIDIA/TransformerEngine/pulls?q=is%3Apr+is%3Aopen+label%3Acommunity-contribution
sraman-rgbhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Apr+is%3Aopen+author%3Asraman-rgb
11 https://github.com/NVIDIA/TransformerEngine/pull/3133
https://github.com/NVIDIA/TransformerEngine/pull/3133
2https://github.com/NVIDIA/TransformerEngine/pulls?page=2&q=is%3Apr+is%3Aopen
3https://github.com/NVIDIA/TransformerEngine/pulls?page=3&q=is%3Apr+is%3Aopen
4https://github.com/NVIDIA/TransformerEngine/pulls?page=4&q=is%3Apr+is%3Aopen
5https://github.com/NVIDIA/TransformerEngine/pulls?page=5&q=is%3Apr+is%3Aopen
6https://github.com/NVIDIA/TransformerEngine/pulls?page=6&q=is%3Apr+is%3Aopen
Nexthttps://github.com/NVIDIA/TransformerEngine/pulls?page=2&q=is%3Apr+is%3Aopen
Nexthttps://github.com/NVIDIA/TransformerEngine/pulls?page=2&q=is%3Apr+is%3Aopen
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