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Make TE Sequential Grouped linear Op CUDA graphable Lint #17274: Pull request #2923 synchronize by vthumbe1503
2m 11s vthumbe1503:grouped_linear_integration_v2
vthumbe1503:grouped_linear_integration_v2
2m 11s
[PyTorch][CP] Add THD format support for AllGather-based Context Parallelism Lint #17273: Pull request #2829 synchronize by sudhakarsingh27
1m 55s sudhakarsingh27:cp_thd_swa_with_ag
sudhakarsingh27:cp_thd_swa_with_ag
1m 55s
[PyTorch] Add distributed Muon optimizer Lint #17272: Pull request #2920 synchronize by pre-commit-ci Bot
Action required vcherepanov-nv:muon
vcherepanov-nv:muon
Action required
[PyTorch] Add distributed Muon optimizer Lint #17271: Pull request #2920 synchronize by vcherepanov-nv
2m 15s vcherepanov-nv:muon
vcherepanov-nv:muon
2m 15s
[PyTorch][CP] Add THD format support for AllGather-based Context Parallelism Lint #17270: Pull request #2829 synchronize by sudhakarsingh27
2m 15s sudhakarsingh27:cp_thd_swa_with_ag
sudhakarsingh27:cp_thd_swa_with_ag
2m 15s
Adds GEMM Profiling Guide to TE Lint #17269: Pull request #2863 synchronize by jomitchellnv
2m 2s jomitchellnv:jm/gemm-blog
jomitchellnv:jm/gemm-blog
2m 2s
[PyTorch] Guard/document single parameter feature for grouped linear Lint #17268: Pull request #2955 synchronize by ksivaman
3m 6s ksivaman:single_param_better_doc
ksivaman:single_param_better_doc
3m 6s
[PyTorch] Guard/document single parameter feature for grouped linear Lint #17267: Pull request #2955 synchronize by ksivaman
1m 17s ksivaman:single_param_better_doc
ksivaman:single_param_better_doc
1m 17s
[PyTorch] Add pad_between_seqs support for non-CP and CP (A2A and P2P) with FA3 + THD (varlen) Lint #17266: Pull request #2596 synchronize by sudhakarsingh27
2m 6s sudhakarsingh27:flash_attn_pad_bw_seqs
sudhakarsingh27:flash_attn_pad_bw_seqs
2m 6s
CPU overhead optimizations for te autocast Lint #17265: Pull request #2957 opened by vthumbe1503
2m 16s vthumbe1503:cpu_opt_te_autocast
vthumbe1503:cpu_opt_te_autocast
2m 16s
Implement per-token NVFP4 fprop recipe Lint #17264: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
[PyTorch] Guard/document single parameter feature for grouped linear Lint #17263: Pull request #2955 synchronize by ksivaman
2m 3s ksivaman:single_param_better_doc
ksivaman:single_param_better_doc
2m 3s
[PyTorch] Guard/document single parameter feature for grouped linear Lint #17262: Pull request #2955 synchronize by ksivaman
2m 10s ksivaman:single_param_better_doc
ksivaman:single_param_better_doc
2m 10s
Implement per-token NVFP4 fprop recipe Lint #17261: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17260: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17259: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17258: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17257: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17256: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17255: Pull request #2931 synchronize by ziang-and
-1s zianglih:fp4-per-token
zianglih:fp4-per-token
-1s
Implement per-token NVFP4 fprop recipe Lint #17254: Pull request #2931 synchronize by pre-commit-ci Bot
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
Implement per-token NVFP4 fprop recipe Lint #17253: Pull request #2931 synchronize by ziang-and
Action required zianglih:fp4-per-token
zianglih:fp4-per-token
Action required
[PyTorch][Core] Fix CUBLAS GGEMM when weight dims are not divisible by 128 Lint #17252: Pull request #2954 synchronize by vthumbe1503
2m 13s vthumbe1503:fix_cublas_grouped_gemm_gptoss_sizes
vthumbe1503:fix_cublas_grouped_gemm_gptoss_sizes
2m 13s
[PyTorch][Core] Fix CUBLAS GGEMM when weight dims are not divisible by 128 Lint #17251: Pull request #2954 synchronize by vthumbe1503
2m 7s vthumbe1503:fix_cublas_grouped_gemm_gptoss_sizes
vthumbe1503:fix_cublas_grouped_gemm_gptoss_sizes
2m 7s
Optimizations for MXFP8/NVFP4 dequantize kernels Lint #17250: Pull request #2865 synchronize by timmoon10
2m 8s YigongQin:yigongq/bwd-dequantize-optim
YigongQin:yigongq/bwd-dequantize-optim
2m 8s