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change
sglang
Commits
fa3c9e06
"graphbolt/vscode:/vscode.git/clone" did not exist on "6451807b5d8f26eee346dc12a5298b427877318f"
Unverified
Commit
fa3c9e06
authored
Mar 26, 2025
by
fzyzcjy
Committed by
GitHub
Mar 26, 2025
Browse files
Fix popen_launch_server wait for 20 minutes when child process exits (#4777)
parent
0d658ac3
Changes
1
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1 changed file
with
5 additions
and
3 deletions
+5
-3
python/sglang/test/test_utils.py
python/sglang/test/test_utils.py
+5
-3
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python/sglang/test/test_utils.py
View file @
fa3c9e06
"""Common utilities for testing and benchmarking"""
"""Common utilities for testing and benchmarking"""
import
argparse
import
argparse
import
asyncio
import
copy
import
copy
import
logging
import
logging
import
os
import
os
...
@@ -64,7 +63,6 @@ DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_QUANT_TP1 = "hugging-quants/Meta-Llama-3.1-8
...
@@ -64,7 +63,6 @@ DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_QUANT_TP1 = "hugging-quants/Meta-Llama-3.1-8
DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN
=
"Qwen/Qwen2.5-1.5B-Instruct"
DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN
=
"Qwen/Qwen2.5-1.5B-Instruct"
DEFAULT_SMALL_VLM_MODEL_NAME
=
"Qwen/Qwen2-VL-2B"
DEFAULT_SMALL_VLM_MODEL_NAME
=
"Qwen/Qwen2-VL-2B"
DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST
=
"meta-llama/Llama-2-7b-chat-hf"
DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST
=
"meta-llama/Llama-2-7b-chat-hf"
DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST
=
"lmsys/sglang-EAGLE-llama2-chat-7B"
DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST
=
"lmsys/sglang-EAGLE-llama2-chat-7B"
...
@@ -435,6 +433,11 @@ def popen_launch_server(
...
@@ -435,6 +433,11 @@ def popen_launch_server(
return
process
return
process
except
requests
.
RequestException
:
except
requests
.
RequestException
:
pass
pass
return_code
=
process
.
poll
()
if
return_code
is
not
None
:
raise
Exception
(
f
"Server unexpectedly exits (
{
return_code
=
}
)."
)
time
.
sleep
(
10
)
time
.
sleep
(
10
)
kill_process_tree
(
process
.
pid
)
kill_process_tree
(
process
.
pid
)
...
@@ -888,7 +891,6 @@ def run_mulit_request_test(
...
@@ -888,7 +891,6 @@ def run_mulit_request_test(
enable_overlap
=
False
,
enable_overlap
=
False
,
chunked_prefill_size
=
32
,
chunked_prefill_size
=
32
,
):
):
def
workload_func
(
base_url
,
model
):
def
workload_func
(
base_url
,
model
):
def
run_one
(
_
):
def
run_one
(
_
):
prompt
=
"""
prompt
=
"""
...
...
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