Merge stage-c-test-large-4-gpu suites into partitioned suites (#18325)
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
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)
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# Local attention with FA3 (requires SM 90+ / H100, tp=4)
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register_cuda_ci(est_time=200, suite="stage-c-test-large-4-gpu")
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register_cuda_ci(est_time=200, suite="stage-c-test-4-gpu-h100")
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@unittest.skipIf(get_device_sm() < 90, "Test requires CUDA SM 90 or higher")
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@@ -23,7 +23,7 @@ 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=350, suite="stage-c-test-large-4-gpu")
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register_cuda_ci(est_time=350, suite="stage-c-test-4-gpu-h100")
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class TestDPAttentionDP2TP4(
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@@ -12,7 +12,7 @@ from sglang.srt.layers.moe.flashinfer_cutedsl_moe import flashinfer_cutedsl_moe_
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from sglang.srt.layers.moe.topk import TopKConfig, select_experts
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from sglang.test.ci.ci_register import register_cuda_ci
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register_cuda_ci(est_time=300, suite="stage-c-test-large-4-gpu-b200")
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register_cuda_ci(est_time=300, suite="stage-c-test-4-gpu-b200")
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SKIP_TEST = torch.cuda.get_device_capability() < (10, 0)
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SKIP_REASON = "Nvfp4 Requires compute capability of 10 or above."
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@@ -21,7 +21,7 @@ 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=360, suite="stage-c-test-large-4-gpu")
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register_cuda_ci(est_time=360, suite="stage-c-test-4-gpu-h100")
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SHAREGPT_URL = (
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"https://huggingface.co/datasets/anon8231489123/"
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@@ -20,7 +20,7 @@ from sglang.test.test_utils import (
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)
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# EAGLE3 with DP attention (tp=2, dp=2, requires 4 GPUs)
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register_cuda_ci(est_time=200, suite="stage-c-test-large-4-gpu")
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register_cuda_ci(est_time=200, suite="stage-c-test-4-gpu-h100")
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class TestEAGLE3EngineDPAttention(CustomTestCase):
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@@ -17,7 +17,7 @@ from sglang.test.test_utils import (
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)
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# EAGLE with DP attention on B200 (tp=2, dp=2, requires 4 B200 GPUs)
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register_cuda_ci(est_time=300, suite="stage-c-test-large-4-gpu-b200")
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register_cuda_ci(est_time=300, suite="stage-c-test-4-gpu-b200")
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def test_gsm8k(base_url: str):
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