feat: add cuda core dump CI warpper (#18909)

This commit is contained in:
Liangsheng Yin
2026-02-17 14:49:26 -08:00
committed by GitHub
parent 9a7d6be567
commit 83a475e8d7
7 changed files with 272 additions and 2 deletions

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@@ -0,0 +1,93 @@
"""CUDA coredump helpers.
When SGLANG_CUDA_COREDUMP=1, this module injects CUDA coredump environment
variables into the current process so that GPU exceptions (e.g. illegal
memory access) produce lightweight coredump files for post-mortem analysis
with cuda-gdb.
The injection happens at module import time via _inject_env() on a
best-effort basis. If any CUDA_* variable is already present in the
environment (e.g. set by the user in the shell), injection is skipped for
that variable and a warning is logged. For strict guarantees, set the
CUDA_* env vars in the shell before launching Python.
"""
import glob
import logging
import os
from sglang.srt.environ import envs
logger = logging.getLogger(__name__)
_CUDA_COREDUMP_FLAGS = (
"skip_nonrelocated_elf_images,skip_global_memory,"
"skip_shared_memory,skip_local_memory,skip_constbank_memory"
)
def is_enabled() -> bool:
return envs.SGLANG_CUDA_COREDUMP.get()
def get_dump_dir() -> str:
return envs.SGLANG_CUDA_COREDUMP_DIR.get()
def _inject_env():
"""Inject CUDA coredump environment variables into the current process.
If a CUDA_* variable is already present, skip it and log a warning."""
dump_dir = get_dump_dir()
os.makedirs(dump_dir, exist_ok=True)
env_vars = {
"CUDA_ENABLE_COREDUMP_ON_EXCEPTION": "1",
"CUDA_COREDUMP_SHOW_PROGRESS": "1",
"CUDA_COREDUMP_GENERATION_FLAGS": _CUDA_COREDUMP_FLAGS,
"CUDA_COREDUMP_FILE": f"{dump_dir}/cuda_coredump_%h.%p.%t",
}
for key, value in env_vars.items():
if key in os.environ:
logger.warning(
"CUDA coredump env var %s is already set to '%s', "
"skipping injection of '%s'.",
key,
os.environ[key],
value,
)
else:
os.environ[key] = value
def cleanup_dump_dir():
"""Remove stale coredump files from the dump directory."""
dump_dir = get_dump_dir()
for f in glob.glob(os.path.join(dump_dir, "cuda_coredump_*")):
os.remove(f)
def report():
"""Log any CUDA coredump files found after a test failure."""
dump_dir = get_dump_dir()
coredump_files = glob.glob(os.path.join(dump_dir, "cuda_coredump_*"))
if not coredump_files:
return
logger.info(f"\n{'='*60}")
logger.info(f"CUDA coredump(s) detected ({len(coredump_files)} file(s)):")
for f in coredump_files:
size_mb = os.path.getsize(f) / (1024 * 1024)
logger.info(f" {f} ({size_mb:.1f} MB)")
logger.info("Use cuda-gdb to analyze: cuda-gdb -c <coredump_file>")
run_id = os.environ.get("GITHUB_RUN_ID")
if run_id:
repo = os.environ.get("GITHUB_REPOSITORY", "sgl-project/sglang")
logger.info(f"Download from CI: gh run download {run_id} --repo {repo}")
logger.info(f"{'='*60}\n")
# Auto-inject CUDA coredump env vars at import time.
if is_enabled():
_inject_env()

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@@ -176,6 +176,8 @@ class Envs:
# SGLang CI
SGLANG_IS_IN_CI = EnvBool(False)
SGLANG_IS_IN_CI_AMD = EnvBool(False)
SGLANG_CUDA_COREDUMP = EnvBool(False)
SGLANG_CUDA_COREDUMP_DIR = EnvStr("/tmp/sglang_cuda_coredumps")
SGLANG_TEST_MAX_RETRY = EnvInt(None)
# Constrained Decoding (Grammar)
@@ -575,6 +577,11 @@ _warn_deprecated_env_to_cli_flag(
"Please use '--prefill-delayer-token-usage-low-watermark' instead.",
)
# Import cuda_coredump to trigger auto-injection of CUDA env vars
# when SGLANG_CUDA_COREDUMP=1. Best-effort; for strict guarantees,
# set CUDA_* env vars in the shell before launching Python.
import sglang.srt.debug_utils.cuda_coredump # noqa: F401, E402
def example_with_exit_stack():
# Use this style of context manager in unit test

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@@ -7,6 +7,7 @@ import time
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
from sglang.srt.debug_utils import cuda_coredump
from sglang.srt.utils.common import kill_process_tree
from sglang.test.ci.ci_register import CIRegistry
@@ -130,6 +131,10 @@ def run_unittest_files(
max_attempts: Maximum number of attempts per file including initial run (default: 2).
retry_wait_seconds: Seconds to wait between retries (default: 60).
"""
coredump_enabled = cuda_coredump.is_enabled()
if coredump_enabled:
cuda_coredump.cleanup_dump_dir()
tic = time.perf_counter()
success = True
passed_tests = []
@@ -161,7 +166,6 @@ def run_unittest_files(
["python3", full_path],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
env=os.environ,
text=True,
errors="ignore", # Ignore non-UTF-8 bytes to prevent UnicodeDecodeError
)
@@ -172,7 +176,7 @@ def run_unittest_files(
process.wait()
else:
process = subprocess.Popen(
["python3", full_path], stdout=None, stderr=None, env=os.environ
["python3", full_path], stdout=None, stderr=None
)
process.wait()
@@ -258,6 +262,9 @@ def run_unittest_files(
elapsed_total = time.perf_counter() - tic
if coredump_enabled and not success:
cuda_coredump.report()
if success:
logger.info(f"Success. Time elapsed: {elapsed_total:.2f}s")
else: