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3,744 workflow runs
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[NVFP4][Dense/MoE] Integrate Cutlass NVFP4 Row-Cast-Col-RHT-Transpose-Cast Fusion Kernel TE-CI Trigger #8019: Issue comment #2555 (comment) created by greptile-apps bot
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[pyTorch] CPU performance optimizations TE-CI Trigger #8018: Issue comment #2439 (comment) created by greptile-apps bot
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[pyTorch] CPU performance optimizations TE-CI Trigger #8017: Issue comment #2439 (comment) created by greptile-apps bot
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[pyTorch] CPU performance optimizations TE-CI Trigger #8016: Issue comment #2439 (comment) created by greptile-apps bot
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[pyTorch] CPU performance optimizations TE-CI Trigger #8015: Issue comment #2439 (comment) created by ptrendx
3m 23s
3m 23s
TransformerEngine conflicts with Triton TE-CI Trigger #8014: Issue comment #2579 (comment) created by ptrendx
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TransformerEngine conflicts with Triton TE-CI Trigger #8013: Issue comment #2579 (comment) created by ptrendx
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Debug doc generation TE-CI Trigger #8012: Issue comment #2576 (comment) created by ptrendx
3m 26s
3m 26s
ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #8011: Issue comment #2577 (comment) created by ptrendx
3m 28s
3m 28s
[PyTorch Debug] NVFP4 debug stats support TE-CI Trigger #8010: Issue comment #2296 (comment) created by pggPL
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[PyTorch] Bunch of fixes for cpu offloading TE-CI Trigger #8009: Issue comment #2535 (comment) created by pggPL
3m 32s
3m 32s
MuonClip for Kimi-K2 model TE-CI Trigger #8008: Issue comment #2334 (comment) created by cyanguwa
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FP8 attention with current scaling TE-CI Trigger #8007: Issue comment #2333 (comment) created by cyanguwa
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[PyT] Update THD sink attention logic for cudnn >=9.18.0 TE-CI Trigger #8006: Issue comment #2568 (comment) created by cyanguwa
3m 29s
3m 29s
Make router_fusion to adapt for the large num_of_expert(>2048) TE-CI Trigger #8005: Issue comment #2582 (comment) created by greptile-apps bot
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ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #8004: Issue comment #2577 (comment) created by victoroliv2
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[PyT] Plumbing correct bias dims from TE to cudnn TE-CI Trigger #8003: Issue comment #2537 (comment) created by KshitijLakhani
3m 41s
3m 41s
[JAX] Refactor and trim TE JAX Attn testing TE-CI Trigger #8002: Issue comment #2542 (comment) created by KshitijLakhani
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ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #8001: Issue comment #2577 (comment) created by ptrendx
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ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #8000: Issue comment #2577 (comment) created by ptrendx
3m 29s
3m 29s
ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #7999: Issue comment #2577 (comment) created by victoroliv2
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Solve pytorch-triton and triton package contention TE-CI Trigger #7998: Issue comment #2540 (comment) created by xwang233
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Enable post-RHT amax estimation with separate amax scale kernel TE-CI Trigger #7997: Issue comment #2521 (comment) created by negvet
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NVFP4 performance regression in TE main branch TE-CI Trigger #7996: Issue comment #2558 (comment) created by cael-ling
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ONNX: Fix FP8 quantization for the second MLP in LayerNormMLP TE-CI Trigger #7995: Issue comment #2577 (comment) created by ksivaman
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