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symmetric quantization to FBGEMM prefill token-wise FP8 (fixed) #5991

symmetric quantization to FBGEMM prefill token-wise FP8 (fixed)

symmetric quantization to FBGEMM prefill token-wise FP8 (fixed) #5991

Triggered via pull request September 18, 2025 17:00
Status Success
Total duration 2h 29m 1s
Artifacts 5
generate-matrix  /  generate
8s
generate-matrix / generate
filter-matrix
7s
filter-matrix
Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
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1 warning
filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.

Artifacts

Produced during runtime
Name Size Digest
pytorch_FBGEMM__3.10_cu126_x86_64
17.6 MB
sha256:1250f52163fa66df82f4a507461c5a6e0a4604ae247c318d2ff73cbe1cb0db73
pytorch_FBGEMM__3.10_cu128_x86_64
49.7 MB
sha256:e5eb292c8e53351345840c508297d65d04f0e913de23d3e05aab23aec72448ee
pytorch_FBGEMM__3.10_cu130_x86_64
47.6 MB
sha256:fa48d48b4abd73d06a393ea87ac47d5594fb1a9fab910cbe1c0d17807ff7675b
pytorch_FBGEMM__3.10_rocm6.3_x86_64
11.2 MB
sha256:4995a60262c5cfefdca4c53d91ba80ba95d28d2e4188e1eb26cc7eb74a5756e3
pytorch_FBGEMM__3.10_rocm6.4_x86_64
11.2 MB
sha256:72ef9bf00cb75657f6750cb9953aa4f4ad1fb4fdda45cd86de9db4e28705b3c9