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Title: Issues · NVIDIA/TransformerEngine · GitHub

Open Graph Title: Issues · NVIDIA/TransformerEngine

X Title: Issues · 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. - Issues · 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

X: @github

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[PyTorch] grouped linear with fp8 current scaling fails with exception: Unable to find suitable cuBLAS grouped GEMM algorithmhttps://github.com/NVIDIA/TransformerEngine/issues/3176
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
luw0513https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Aluw0513
Improve readability of dgrad_reduce_scatter_overlap variable namehttps://github.com/NVIDIA/TransformerEngine/issues/3164
Prachi-kushwahahttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3APrachi-kushwaha
Hybrid quantization follow-upshttps://github.com/NVIDIA/TransformerEngine/issues/3158
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
negvethttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Anegvet
Track recipe config changes for quantizer rebuildshttps://github.com/NVIDIA/TransformerEngine/issues/3157
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
negvethttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Anegvet
Compiling error: ‘OVecT’ has not been declaredhttps://github.com/NVIDIA/TransformerEngine/issues/3155
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
buildBuild systemhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abuild
cryocohttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Acryoco
Multi-GPU FP8 (accelerate.dispatch_model + DelayedScaling HYBRID) — illegal memory access on H200 sm_90https://github.com/NVIDIA/TransformerEngine/issues/3124
roirhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Aroir
Vendor-neutral reference: NVFP4 vs OCP MXFP4 block-structure parameters (request for confirmation)https://github.com/NVIDIA/TransformerEngine/issues/3105
questionFurther information is requestedhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Aquestion
gHashTaghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3AgHashTag
test_comm_gemm_overlap.py::test_multi_layer_with_overlap_bf16 fails on A100https://github.com/NVIDIA/TransformerEngine/issues/3097
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
francesco-bertolottihttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Afrancesco-bertolotti
Low-overhead stateless functional quantize/GEMM API (plain tensors in → out)https://github.com/NVIDIA/TransformerEngine/issues/3087
cael-linghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3Acael-ling
Fused attention should distinguish bias input from dBias requesthttps://github.com/NVIDIA/TransformerEngine/issues/3082
attentionhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Aattention
Enhancementhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20type%3AEnhancement
KshitijLakhanihttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3AKshitijLakhani
NVFP4 default recipe (RHT + stochastic rounding) crashes on sm_120: fused kernel exceeds 101376-byte shared-memory opt-in caphttps://github.com/NVIDIA/TransformerEngine/issues/3062
bugSomething isn't workinghttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
Infatoshihttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3AInfatoshi
[Common] Move heavy kernel compilation to NVRTChttps://github.com/NVIDIA/TransformerEngine/issues/3054
installationhttps://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20label%3Ainstallation
CarlosGomes98https://github.com/NVIDIA/TransformerEngine/issues?q=is%3Aissue%20state%3Aopen%20author%3ACarlosGomes98
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