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Prototype NVFP4 with FP8 UE5M3 block scales Build #19781: Pull request #3325 synchronize by pre-commit-ci Bot
In progress timmoon10:nvfp4-ue5m3-prototype
timmoon10:nvfp4-ue5m3-prototype
In progress
Prototype NVFP4 with FP8 UE5M3 block scales Build #19780: Pull request #3325 opened by timmoon10
1m 25s timmoon10:nvfp4-ue5m3-prototype
timmoon10:nvfp4-ue5m3-prototype
1m 25s
Improve device-init grouped linear module with single grouped weight support Build #19779: Pull request #3224 synchronize by zhongbozhu
In progress zhongbozhu:improve_device_grouped_linear
zhongbozhu:improve_device_grouped_linear
In progress
[PyTorch] Enable NVFP4 row-scaled (per-token) backward for GroupedLinear Build #19778: Pull request #3324 synchronize by pre-commit-ci Bot
Action required cael-ling:pr/nvfp4-row-scaled-moe-backward
cael-ling:pr/nvfp4-row-scaled-moe-backward
Action required
[PyTorch] Enable NVFP4 row-scaled (per-token) backward for GroupedLinear Build #19777: Pull request #3324 opened by cael-ling
Action required cael-ling:pr/nvfp4-row-scaled-moe-backward
cael-ling:pr/nvfp4-row-scaled-moe-backward
Action required
Improve device-init grouped linear module with single grouped weight support Build #19776: Pull request #3224 synchronize by zhongbozhu
2h 21m 38s zhongbozhu:improve_device_grouped_linear
zhongbozhu:improve_device_grouped_linear
2h 21m 38s
Improve device-init grouped linear module with single grouped weight support Build #19775: Pull request #3224 synchronize by zhongbozhu
31m 17s zhongbozhu:improve_device_grouped_linear
zhongbozhu:improve_device_grouped_linear
31m 17s
Use cuDNN for row-scaled NVFP4 grouped GEMM Build #19774: Pull request #3042 synchronize by ziang-and
Action required zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
Action required
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19773: Pull request #3244 synchronize by YangFei1990
6h 4m 45s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
6h 4m 45s
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19772: Pull request #3244 synchronize by YangFei1990
24s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
24s
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19771: Pull request #3244 synchronize by YangFei1990
2s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
2s
Use cuDNN for row-scaled NVFP4 grouped GEMM Build #19770: Pull request #3042 synchronize by ziang-and
Action required zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
Action required
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19769: Pull request #3244 synchronize by pre-commit-ci Bot
43m 34s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
43m 34s
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19768: Pull request #3244 synchronize by YangFei1990
1m 54s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
1m 54s
Use cuDNN for row-scaled NVFP4 grouped GEMM Build #19767: Pull request #3042 synchronize by ziang-and
Action required zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
zianglih:codex/cudnn-row-scale-nvfp4-grouped-gemm
Action required
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19766: Pull request #3244 synchronize by pre-commit-ci Bot
6h 40m 8s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
6h 40m 8s
[Pytorch] Add support for row-wise quanted input for grouped gemm Build #19765: Pull request #3244 synchronize by YangFei1990
1m 18s YangFei1990:mxfp8_input_groupedgemm
YangFei1990:mxfp8_input_groupedgemm
1m 18s
Add support for fused Q Up-Proj GEMM/RoPE/Quant. Build #19764: Pull request #3303 synchronize by sudhakarsingh27
10h 44m 4s chaseblock:qrope_fusion
chaseblock:qrope_fusion
10h 44m 4s
Add support for fused Q Up-Proj GEMM/RoPE/Quant. Build #19763: Pull request #3303 synchronize by chaseblock
44m 16s chaseblock:qrope_fusion
chaseblock:qrope_fusion
44m 16s
[JAX] Migrate EP collective-stream annotation to region-based compute_on Build #19762: Pull request #3304 synchronize by phu0ngng
27m 23s phu0ngng:jax_compute_on_version
phu0ngng:jax_compute_on_version
27m 23s
[Pytorch] Enable TE Sequential Op to consume extra_outputs from a previously run Op Build #19761: Pull request #3320 synchronize by vthumbe1503
6h 5m 16s vthumbe1503:enable_extra_out_consumption
vthumbe1503:enable_extra_out_consumption
6h 5m 16s
[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI Build #19760: Pull request #3137 synchronize by pre-commit-ci Bot
10m 27s kainzhong:cutedsl_mxfp8_common
kainzhong:cutedsl_mxfp8_common
10m 27s
[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI Build #19759: Pull request #3137 synchronize by kainzhong
1m 25s kainzhong:cutedsl_mxfp8_common
kainzhong:cutedsl_mxfp8_common
1m 25s
[JAX] Migrate EP collective-stream annotation to region-based compute_on Build #19758: Pull request #3304 synchronize by phu0ngng
6h 0m 11s phu0ngng:jax_compute_on_version
phu0ngng:jax_compute_on_version
6h 0m 11s
Improve device-init grouped linear module with single grouped weight support Build #19757: Pull request #3224 synchronize by zhongbozhu
6h 0m 27s zhongbozhu:improve_device_grouped_linear
zhongbozhu:improve_device_grouped_linear
6h 0m 27s