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Pull requests: NVIDIA/TransformerEngine
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[JAX] Add warning if using BSHD and max_segments_per_seq > 1
#2796
opened Mar 24, 2026 by
jberchtold-nvidia
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8 of 13 tasks
If model parameters are DTensors, optimizer states should also be DTensors.
#2795
opened Mar 24, 2026 by
cspades
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1 of 13 tasks
Avoid CPU offload wait_event for validation
#2793
opened Mar 23, 2026 by
vasunvidia
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13 tasks
[PyTorch] [torch.compile] Remove module reference from autograd function args
#2791
opened Mar 23, 2026 by
pggPL
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8 of 13 tasks
Optimize fp8 block scaling Allgather for FSDP2
#2789
opened Mar 23, 2026 by
vthumbe1503
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1 of 13 tasks
[Common][JAX] Add CUB TopK MaxPairs interface
#2784
opened Mar 20, 2026 by
huanghua1994
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8 of 13 tasks
Optimize naive top-k masking in fused router
#2783
opened Mar 19, 2026 by
yosh20004
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3 of 13 tasks
Fused Adam Support for MXFP8 + FSDP2 integration
#2780
opened Mar 18, 2026 by
vthumbe1503
•
Draft
13 tasks
[fused_router][pytorch] Optimize naive topk path and add perf benchmark
#2776
opened Mar 18, 2026 by
XiaomingFun233
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add mark_not_offload() interface for cpu_offload_v1
#2770
opened Mar 17, 2026 by
lhb8125
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13 tasks
GEMM + Swiglu fused Grouped MLP for MXFP8
2.14.0
MoE
#2769
opened Mar 17, 2026 by
ksivaman
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13 tasks
[Draft]Support for score_mod and score_mod_bprop in cuDNN's sdpa
#2767
opened Mar 16, 2026 by
vcherepanov-nv
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2 of 13 tasks
[PyTorch] transformer_engine.pytorch.autocast suport inside torch.compile
#2759
opened Mar 13, 2026 by
pggPL
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4 of 26 tasks
[JAX] Grouped GEMM Refactor to use first_dims and last_dims
#2749
opened Mar 10, 2026 by
jberchtold-nvidia
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1 of 13 tasks
[Common] Persistent Grouped NVFP4 quantization kernel
#2743
opened Mar 6, 2026 by
Oleg-Goncharov
•
Draft
8 of 13 tasks
[Common] Persistent Grouped MXFP8 quantization kernel
enhancement
New feature or request
MoE
#2738
opened Mar 5, 2026 by
Oleg-Goncharov
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9 of 13 tasks
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