ci: decouple stage and runner for cuda registry (#25197)

This commit is contained in:
Liangsheng Yin
2026-05-13 17:28:21 -07:00
committed by GitHub
parent dd98153d17
commit 22d3f3996c
261 changed files with 388 additions and 293 deletions
+1 -1
View File
@@ -13,7 +13,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=160, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=160, stage="stage-b", runner_config="1-gpu-large")
register_amd_ci(est_time=200, suite="stage-b-test-1-gpu-large-amd")
+1 -1
View File
@@ -10,7 +10,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=44, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=44, stage="stage-b", runner_config="1-gpu-small")
register_amd_ci(est_time=22, suite="stage-b-test-1-gpu-small-amd")
@@ -17,7 +17,8 @@ from sglang.test.test_utils import (
register_cuda_ci(
est_time=1060,
suite="stage-c-test-4-gpu-b200",
stage="stage-c",
runner_config="4-gpu-b200",
)
FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3.2-NVFP4"
@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
register_cuda_ci(est_time=1190, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=1190, stage="stage-c", runner_config="4-gpu-b200")
FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"
SERVER_LAUNCH_TIMEOUT = 1200
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=630, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=630, stage="stage-c", runner_config="4-gpu-b200")
MODEL_PATH = "Qwen/Qwen3-4B-Instruct-2507-FP8"
MXFP8_MODEL_PATH = "zianglih/Qwen3-4B-Instruct-2507-MXFP8"
+1 -1
View File
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=146, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=146, stage="stage-b", runner_config="1-gpu-small")
PERTENSOR_MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-FP8"
BLOCKWISE_MODEL_PATH = "Qwen/Qwen3-4B-Instruct-2507-FP8"
+1 -1
View File
@@ -9,7 +9,7 @@ from sglang.srt.layers.quantization.fp8_kernel import (
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=10, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=10, stage="stage-b", runner_config="1-gpu-large")
from sglang.srt.utils import get_device, is_cuda, is_xpu
+1 -1
View File
@@ -10,7 +10,7 @@ from sglang.srt.layers.quantization.fp8_utils import (
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=9, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=9, stage="stage-b", runner_config="1-gpu-large")
class TestInverseTransformScaleUe8m0(CustomTestCase):
+1 -1
View File
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=73, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=73, stage="stage-b", runner_config="1-gpu-large")
class TestFP8KVCacheTritonBackend(CustomTestCase):
+1 -1
View File
@@ -6,7 +6,7 @@ import sglang as sgl
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=76, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=76, stage="stage-b", runner_config="1-gpu-small")
class TestGGUF(CustomTestCase):
@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=100, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=100, stage="stage-b", runner_config="1-gpu-large")
def check_quant_method(model_path: str, use_marlin_kernel: bool):
+1 -1
View File
@@ -11,7 +11,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=15, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=15, stage="stage-b", runner_config="1-gpu-small")
def native_w8a8_per_token_matmul(A, B, As, Bs, output_dtype=torch.float16):
+1 -1
View File
@@ -12,7 +12,7 @@ from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_marlin_utils import awq_marlin_quantize, marlin_quantize
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=108, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=108, stage="stage-b", runner_config="1-gpu-small")
set_global_server_args_for_scheduler(object.__new__(ServerArgs))
+1 -1
View File
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=62, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=62, stage="stage-b", runner_config="1-gpu-large")
class TestModeloptFP8(CustomTestCase):
+1 -1
View File
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=420, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=420, stage="stage-c", runner_config="4-gpu-b200")
MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-NVFP4"
@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=109, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=109, stage="stage-b", runner_config="1-gpu-small")
MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-NVFP4"
@@ -9,7 +9,7 @@ from sglang.srt.utils.common import get_device
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=11, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=11, stage="stage-b", runner_config="1-gpu-small")
register_amd_ci(est_time=12, suite="stage-b-test-1-gpu-small-amd")
@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=232, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=232, stage="stage-b", runner_config="1-gpu-large")
class BaseW8A8Test(CustomTestCase):