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qgemm: optimize avxvnni QGEMM inner kernel for M=1 #8130

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qgemm: optimize avxvnni QGEMM inner kernel for M=1

qgemm: optimize avxvnni QGEMM inner kernel for M=1 #8130

Re-run triggered November 14, 2025 20:58
@hariharans29hariharans29
#22952
r-devulap:avxvnni-unroll
Status Success
Total duration 2h 19m 22s
Artifacts 1

windows_cuda.yml

on: pull_request
Windows GPU CUDA CI Pipeline
40m 45s
Windows GPU CUDA CI Pipeline
Windows GPU CUDA CI Pipeline Test Job
44m 19s
Windows GPU CUDA CI Pipeline Test Job
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6 warnings
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1234
epilog offset from end of function exceeds 4095
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1227
epilog offset from end of function exceeds 4095
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1220
epilog offset from end of function exceeds 4095
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1213
epilog offset from end of function exceeds 4095
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1206
epilog offset from end of function exceeds 4095
Windows GPU CUDA CI Pipeline: onnxruntime/core/mlas/lib/amd64/QgemmU8X8KernelAvx2.asm#L1199
epilog offset from end of function exceeds 4095

Artifacts

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Name Size Digest
build-artifacts
2.02 GB
sha256:bb655f7826dc74355195960301b029bfc5347d7a869410cb7e8026bd4697300f