[CI] Rename basic CI stage-a/b/c -> base-a/b/c for symmetry with extra CI (#25420)
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@@ -13,7 +13,7 @@ from sglang.srt.utils import get_device, get_device_capability, is_hip
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.test_utils import CustomTestCase, empty_gpu_cache
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register_cuda_ci(est_time=87, stage="stage-b", runner_config="1-gpu-large")
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register_cuda_ci(est_time=87, stage="base-b", runner_config="1-gpu-large")
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register_amd_ci(est_time=30, suite="stage-b-test-1-gpu-small-amd")
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_is_hip = is_hip()
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@@ -11,7 +11,7 @@ from sglang.test.test_utils import (
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popen_launch_server,
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)
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register_cuda_ci(est_time=171, stage="stage-b", runner_config="2-gpu-large")
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register_cuda_ci(est_time=171, stage="base-b", runner_config="2-gpu-large")
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class TestGLM4MoE(CustomTestCase):
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@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
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# Per-commit: TP=2 EP=2 baseline.
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# DeepGEMM/FP8 variant moved to test_moe_ep_nightly.py.
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register_cuda_ci(est_time=279, stage="stage-b", runner_config="2-gpu-large")
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register_cuda_ci(est_time=279, stage="base-b", runner_config="2-gpu-large")
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class TestEp(CustomTestCase):
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
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popen_launch_server,
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)
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register_cuda_ci(est_time=130, stage="stage-b", runner_config="1-gpu-large")
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register_cuda_ci(est_time=130, stage="base-b", runner_config="1-gpu-large")
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register_amd_ci(est_time=1400, suite="stage-b-test-1-gpu-small-amd")
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@@ -12,7 +12,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.test_utils import CustomTestCase
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register_cuda_ci(est_time=13, stage="stage-b", runner_config="1-gpu-large")
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register_cuda_ci(est_time=13, stage="base-b", runner_config="1-gpu-large")
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class TestFusedMOE(CustomTestCase):
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@@ -11,7 +11,7 @@ from sglang.srt.server_args import ServerArgs, set_global_server_args_for_schedu
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.test_utils import CustomTestCase
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register_cuda_ci(est_time=17, stage="stage-b", runner_config="1-gpu-large")
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register_cuda_ci(est_time=17, stage="base-b", runner_config="1-gpu-large")
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def native_w8a8_per_token_matmul(A, B, As, Bs, output_dtype=torch.float16):
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