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chore: update CI test est_time values (#23785)

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Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>
This commit is contained in:
sglang-bot
2026-04-26 20:17:50 -07:00
committed by GitHub
co-authored by sglang-bot
parent 32c3513816
commit da175b964d
268 changed files with 269 additions and 269 deletions
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test/registered/quant/test_autoround.py
+1 -1
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@@ -17,7 +17,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=96, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=99, suite="stage-b-test-1-gpu-large")
class TestAutoRound(CustomTestCase):
test/registered/quant/test_awq.py
+1 -1
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@@ -13,7 +13,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=950, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=226, suite="stage-b-test-1-gpu-large")
register_amd_ci(est_time=200, suite="stage-b-test-1-gpu-large-amd")
test/registered/quant/test_block_int8.py
+1 -1
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@@ -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=39, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=44, suite="stage-b-test-1-gpu-small")
register_amd_ci(est_time=22, suite="stage-b-test-1-gpu-small-amd")
test/registered/quant/test_deepseek_v32_fp4_4gpu.py
+1 -1
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@@ -13,7 +13,7 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
register_cuda_ci(est_time=852, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=874, suite="stage-c-test-4-gpu-b200")
FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3.2-NVFP4"
SERVER_LAUNCH_TIMEOUT = 1200
test/registered/quant/test_deepseek_v32_fp4_mtp_4gpu.py
+1 -1
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
register_cuda_ci(est_time=1030, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=1060, suite="stage-c-test-4-gpu-b200")
FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3.2-NVFP4"
SERVER_LAUNCH_TIMEOUT = 1200
test/registered/quant/test_deepseek_v3_fp4_4gpu.py
+1 -1
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@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
register_cuda_ci(est_time=1380, suite="stage-c-test-4-gpu-b200")
register_cuda_ci(est_time=1190, suite="stage-c-test-4-gpu-b200")
FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"
SERVER_LAUNCH_TIMEOUT = 1200
test/registered/quant/test_eval_fp8_accuracy.py
+1 -1
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@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=326, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=351, suite="stage-b-test-1-gpu-large")
register_amd_ci(est_time=600, suite="stage-b-test-1-gpu-small-amd")
test/registered/quant/test_fp8_gemm_sm120.py
+1 -1
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@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=144, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=146, suite="stage-b-test-1-gpu-small")
PERTENSOR_MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-FP8"
BLOCKWISE_MODEL_PATH = "Qwen/Qwen3-4B-Instruct-2507-FP8"
test/registered/quant/test_fp8_utils.py
+1 -1
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@@ -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=8, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=9, suite="stage-b-test-1-gpu-large")
class TestInverseTransformScaleUe8m0(CustomTestCase):
test/registered/quant/test_fp8kv_triton.py
+1 -1
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@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=63, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=73, suite="stage-b-test-1-gpu-large")
class TestFP8KVCacheTritonBackend(CustomTestCase):
test/registered/quant/test_gguf.py
+1 -1
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@@ -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=71, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=76, suite="stage-b-test-1-gpu-small")
class TestGGUF(CustomTestCase):
test/registered/quant/test_gptqmodel_dynamic.py
+1 -1
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@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=98, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=100, suite="stage-b-test-1-gpu-large")
def check_quant_method(model_path: str, use_marlin_kernel: bool):
test/registered/quant/test_int8_kernel.py
+1 -1
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@@ -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=13, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=15, suite="stage-b-test-1-gpu-small")
def native_w8a8_per_token_matmul(A, B, As, Bs, output_dtype=torch.float16):
test/registered/quant/test_marlin_moe.py
+1 -1
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@@ -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=85, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=108, suite="stage-b-test-1-gpu-small")
set_global_server_args_for_scheduler(object.__new__(ServerArgs))
test/registered/quant/test_nvfp4_gemm_sm120.py
+1 -1
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@@ -12,7 +12,7 @@ from sglang.test.test_utils import (
try_cached_model,
)
register_cuda_ci(est_time=115, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=109, suite="stage-b-test-1-gpu-small")
MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-NVFP4"
test/registered/quant/test_quant_config_parsing.py
+1 -1
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@@ -5,7 +5,7 @@ from sglang.srt.configs.model_config import ModelConfig
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=12, suite="stage-a-test-cpu")
register_cpu_ci(est_time=15, suite="stage-a-test-cpu")
class TestQuantLogString(CustomTestCase):
test/registered/quant/test_quantization.py
+1 -1
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
write_results_to_json,
)
register_cuda_ci(est_time=402, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=460, suite="stage-b-test-1-gpu-large")
MODEL_SCORE_THRESHOLDS = {
# Baselines observed with gsm8k 5-shot concatenated format via chat API,
test/registered/quant/test_triton_scaled_mm.py
+1 -1
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@@ -8,7 +8,7 @@ from sglang.srt.layers.quantization.fp8_kernel import triton_scaled_mm
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=9, suite="stage-b-test-1-gpu-small")
register_cuda_ci(est_time=11, suite="stage-b-test-1-gpu-small")
register_amd_ci(est_time=12, suite="stage-b-test-1-gpu-small-amd")
test/registered/quant/test_w4a8_deepseek_v3.py
+1 -1
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@@ -19,7 +19,7 @@ from sglang.test.test_utils import (
write_github_step_summary,
)
register_cuda_ci(est_time=700, suite="stage-c-test-8-gpu-h20")
register_cuda_ci(est_time=930, suite="stage-c-test-8-gpu-h20")
class TestDeepseekV3W4afp8(CustomTestCase):
test/registered/quant/test_w8a8_quantization.py
+1 -1
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@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
popen_launch_server,
)
register_cuda_ci(est_time=204, suite="stage-b-test-1-gpu-large")
register_cuda_ci(est_time=232, suite="stage-b-test-1-gpu-large")
class BaseW8A8Test(CustomTestCase):