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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7873: Issue comment #2539 (comment) created by tdophung
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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7872: Issue comment #2539 (comment) created by KshitijLakhani
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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7871: Issue comment #2539 (comment) created by jberchtold-nvidia
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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7870: Issue comment #2539 (comment) created by greptile-apps Bot
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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7869: Issue comment #2539 (comment) created by tdophung
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Fix ptxas compilation on sm103 for triton kernels TE-CI Trigger #7868: Issue comment #2539 (comment) created by greptile-apps Bot
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[PyT] Plumbing correct bias dims from TE to cudnn, while adding support for additional bias shapes TE-CI Trigger #7867: Issue comment #2537 (comment) created by cyanguwa
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[PyTorch] Fuse permute+pad and unpermute+unpad ops for FP8 optimization TE-CI Trigger #7866: Issue comment #1921 (comment) created by tdophung
3m 23s
3m 23s
[PyT] Plumbing correct bias dims from TE to cudnn, while adding support for additional bias shapes TE-CI Trigger #7865: Issue comment #2537 (comment) created by greptile-apps Bot
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[PyT] Plumbing correct bias dims from TE to cudnn, while adding support for additional bias shapes TE-CI Trigger #7864: Issue comment #2537 (comment) created by greptile-apps Bot
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Incorrectly detect CublasLt version and cause error in an assert TE-CI Trigger #7863: Issue comment #2538 (comment) created by zzzhhh2025
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[common] Add support for cuBLASLt GEMM for GroupedTensor TE-CI Trigger #7862: Issue comment #2502 (comment) created by pggPL
3m 29s
3m 29s
[common] Add support for cuBLASLt GEMM for GroupedTensor TE-CI Trigger #7861: Issue comment #2502 (comment) created by greptile-apps Bot
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Incorrectly detect CublasLt version and cause error in an assert TE-CI Trigger #7860: Issue comment #2538 (comment) created by coderabbitai Bot
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[PyTorch] Fuse permute+pad and unpermute+unpad ops for FP8 optimization TE-CI Trigger #7859: Issue comment #1921 (comment) created by xiaoxi-wangfj
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TE-CI Trigger TE-CI Trigger #7858: created by kimchi-developer
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[PyT] Plumbing correct bias dims from TE to cudnn, while adding support for additional bias shapes TE-CI Trigger #7857: Issue comment #2537 (comment) created by KshitijLakhani
3m 30s
3m 30s
UBNEXT with optional add-rms fuse TE-CI Trigger #7856: Issue comment #2212 (comment) created by greptile-apps Bot
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softmax_type != vanilla support thd format TE-CI Trigger #7855: Issue comment #2483 (comment) created by jordane95
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[PyTorch][NVFP4][MOE] NVFP4 Grouped Quantize with Hadamard Transform TE-CI Trigger #7854: Issue comment #2411 (comment) created by timmoon10
3m 23s
3m 23s
[PyTorch][NVFP4][MOE] NVFP4 Grouped Quantize with Hadamard Transform TE-CI Trigger #7853: Issue comment #2411 (comment) created by timmoon10
4m 5s
4m 5s
[PyTorch][NVFP4][MOE] NVFP4 Grouped Quantize with Hadamard Transform TE-CI Trigger #7852: Issue comment #2411 (comment) created by zhongbozhu
3m 20s
3m 20s
[PyTorch][NVFP4][MOE] NVFP4 Grouped Quantize with Hadamard Transform TE-CI Trigger #7851: Issue comment #2411 (comment) created by greptile-apps Bot
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[JAX] Remove unused TE DPA module dtype which fixes cuDNN backend detection to properly use input dtypes TE-CI Trigger #7850: Issue comment #2485 (comment) created by jberchtold-nvidia
3m 20s
3m 20s
Add support for SWA (left, right) with FusedAttention TE-CI Trigger #7849: Issue comment #2477 (comment) created by sudhakarsingh27
3m 29s
3m 29s
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