minke.yu/sglang
1
0
Fork 0
Code Issues Pull Requests Actions 12 Packages Projects Releases Wiki Activity

[CI] Key scheduled CUDA suites by runner_config instead of hand-written jobs (#34186)

Browse Source
This commit is contained in:
Liangsheng Yin
2026-08-09 16:44:53 -07:00
committed by GitHub
parent 4a5d7d3c67
commit 7c90840bad
94 changed files with 531 additions and 869 deletions
Download Patch File Download Diff File Expand all files Collapse all files
test/registered/radix_cache/unified_radix_tree/test_unified_radix_cache_kl_mimo.py
+1 -1
View File
@@ -23,7 +23,7 @@ MIMO_LAUNCH_TIMEOUT = 3600
# MiMo V2.5 is pre-cached on the eight-H200 runner. The H200-only nightly suite
# exercises the asymmetric MHA host pool end to end without adding PR CI cost.
register_cuda_ci(est_time=1200, suite="nightly-8-gpu-h200", nightly=True)
register_cuda_ci(est_time=270, stage="nightly", runner_config="8-gpu-h200")
class TestUnifiedMiMoHiCacheLoadBackKL(CustomTestCase):
test/registered/radix_cache/unified_radix_tree/test_unified_radix_cache_kl_nightly.py
+1 -1
View File
@@ -26,7 +26,7 @@ from sglang.test.test_utils import (
GLM5_MODEL = "zai-org/GLM-5.2-FP8"
GLM5_LAUNCH_TIMEOUT = 3600
register_cuda_ci(est_time=900, suite="nightly-8-gpu-h200", nightly=True)
register_cuda_ci(est_time=690, stage="nightly", runner_config="8-gpu-h200")
class AccuracyTwoPassMixin: