[AMD] Register 3 unit mem_cache + utils tests for stage-b-test-1-gpu-small-amd (#29782)

This commit is contained in:
Michael
2026-07-01 12:57:48 -07:00
committed by GitHub
parent 8361561c24
commit 3adfd0f34b
3 changed files with 6 additions and 3 deletions
@@ -14,10 +14,11 @@ from sglang.srt.mem_cache.hiradix_cache import HiRadixCache
from sglang.srt.mem_cache.memory_pool import MHATokenToKVPool, ReqToTokenPool from sglang.srt.mem_cache.memory_pool import MHATokenToKVPool, ReqToTokenPool
from sglang.srt.mem_cache.radix_cache import RadixKey from sglang.srt.mem_cache.radix_cache import RadixKey
from sglang.srt.server_args import ServerArgs, set_global_server_args_for_scheduler from sglang.srt.server_args import ServerArgs, set_global_server_args_for_scheduler
from sglang.test.ci.ci_register import register_cuda_ci from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=15, stage="base-b", runner_config="1-gpu-small") register_cuda_ci(est_time=15, stage="base-b", runner_config="1-gpu-small")
register_amd_ci(est_time=15, stage="stage-b", runner_config="1-gpu-small-amd")
PAGE_SIZE = 2 PAGE_SIZE = 2
@@ -23,11 +23,12 @@ import unittest
import torch import torch
from sglang.test.ci.ci_register import register_cuda_ci from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
_HAS_CUDA = torch.cuda.is_available() _HAS_CUDA = torch.cuda.is_available()
register_cuda_ci(est_time=30, stage="base-b", runner_config="1-gpu-small") register_cuda_ci(est_time=30, stage="base-b", runner_config="1-gpu-small")
register_amd_ci(est_time=5, stage="stage-b", runner_config="1-gpu-small-amd")
@unittest.skipUnless(_HAS_CUDA, "Triton kernels require CUDA") @unittest.skipUnless(_HAS_CUDA, "Triton kernels require CUDA")
+2 -1
View File
@@ -8,10 +8,11 @@ from sglang.srt.utils.common import (
get_device_sm_nvidia_smi, get_device_sm_nvidia_smi,
get_nvidia_driver_version_str, get_nvidia_driver_version_str,
) )
from sglang.test.ci.ci_register import register_cuda_ci from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
register_cuda_ci(est_time=5, stage="base-b", runner_config="1-gpu-small") register_cuda_ci(est_time=5, stage="base-b", runner_config="1-gpu-small")
register_amd_ci(est_time=5, stage="stage-b", runner_config="1-gpu-small-amd")
@unittest.skipUnless(torch.cuda.is_available(), "requires CUDA") @unittest.skipUnless(torch.cuda.is_available(), "requires CUDA")