feat(CRITICAL): import wudixzy/competition complete corex stack — 12 prebuilt .so + 13 CUDA kernels + 2615-line qwen3_5.py

Source: github.com/wudixzy/competition (1527 files, BI-V100 competition reference)

Imported assets:
- 12 prebuilt CoreX .so extensions (corex-3.2.3-ivcore10):
  corex_gdn_{beta_decay,causal_conv,gated_norm,packed_decode,qk_map}.so
  corex_moe_{direct_routed,exact_reduce,weight_gather}.so
  corex_attn_head_rms_norm.so, corex_paged_kv_gather.so
  corex_block_major_kv_transfer.so, corex_fused_paged_prefill.so

- 13 CUDA kernel sources (.cu) for above extensions
- 11 build scripts (build_corex_*.sh)
- install_prebuilt_corex.sh (SHA256-verified .so deployment)
- qwen3_5.py (2615 lines) with FULL corex kernel integration
- 9 vllm vendor override files (block manager, sampler, etc)
- 19 patch scripts (model_runner, xformers, block_major, etc)
- Complete serving layer (serving_chat, protocol, api_server, etc)
- bi100_env.py, bi100_profile.py, gdn_prefix.py, block_major_kv_cache.py
- Dockerfile aligned with reference build chain
- computility-run.yaml with BI100_MOE_COREX_DIRECT_ROUTED=1

Call chain verified:
  Dockerfile COPY → patch_ops.sh → install_prebuilt_corex.sh → 12 .so to $VLLM_ROOT
  qwen3_5.py imports: from vllm import corex_gdn_* / corex_moe_* / corex_attn_*
This commit is contained in:
project6-dev
2026-08-11 03:55:38 +00:00
parent 81875fff52
commit 5862708b32
86 changed files with 24702 additions and 9860 deletions

View File

@@ -2,54 +2,23 @@
Patches transformers 4.55.3 to register qwen3_5 and qwen3_5_moe model types.
Deploy steps on the remote machine:
1. cp -r modified_scripts/qwen3_5 /usr/local/lib/python3.10/site-packages/transformers/models/qwen3_5
2. cp -r modified_scripts/qwen3_5_moe /usr/local/lib/python3.10/site-packages/transformers/models/qwen3_5_moe
1. patch_ops.sh locates transformers with importlib.util.find_spec.
2. cp -r modified_scripts/qwen3_5* into the detected transformers/models.
3. python3 modified_scripts/patch_transformers_qwen3_5.py
Target: pip-installed transformers at /usr/local/lib/python3.10/site-packages/transformers/
(Not the corex pre-installed path at /usr/local/corex/lib64/python3/dist-packages/)
"""
import sys
TRANSFORMERS_ROOT = None
for _p in ["/usr/local/lib/python3.10/site-packages/transformers",
"/usr/local/corex/lib/python3/dist-packages/transformers",
"/usr/local/corex/lib64/python3/dist-packages/transformers"]:
import os
if os.path.isdir(_p):
TRANSFORMERS_ROOT = _p
break
if TRANSFORMERS_ROOT is None:
TRANSFORMERS_ROOT = "/usr/local/lib/python3.10/site-packages/transformers"
AUTO_CONFIG = f"{TRANSFORMERS_ROOT}/models/auto/configuration_auto.py"
MODELS_INIT = f"{TRANSFORMERS_ROOT}/models/__init__.py"
from patch_utils import package_root, replace_once, replace_one_of
def patch_file(path, replacements):
with open(path, "r") as f:
content = f.read()
patched = False
for old, new in replacements:
if new in content:
print(f" [skip] already patched: {repr(new[:60])}")
continue
if old not in content:
print(f" [warn] anchor not found: {repr(old[:60])}")
continue
content = content.replace(old, new, 1)
patched = True
print(f" [ok] inserted after: {repr(old[:60])}")
if patched:
with open(path, "w") as f:
f.write(content)
TRANSFORMERS_ROOT = package_root("transformers")
AUTO_CONFIG = TRANSFORMERS_ROOT / "models" / "auto" / "configuration_auto.py"
MODELS_INIT = TRANSFORMERS_ROOT / "models" / "__init__.py"
def main():
print(f"=== Patching {AUTO_CONFIG} ===")
patch_file(AUTO_CONFIG, [
replace_one_of(AUTO_CONFIG, [
# CONFIG_MAPPING_NAMES: insert qwen3_5 + qwen3_5_moe right after qwen3
(
'("qwen3", "Qwen3Config"),',
@@ -59,6 +28,8 @@ def main():
'("qwen3", "Qwen3Config")\n',
'("qwen3", "Qwen3Config"),\n ("qwen3_5", "Qwen3_5Config"),\n ("qwen3_5_moe", "Qwen3_5MoeConfig"),\n',
),
], required=True, already_contains='("qwen3_5_moe", "Qwen3_5MoeConfig")')
replace_one_of(AUTO_CONFIG, [
# MODEL_NAMES_MAPPING (model_type -> human readable name)
(
'("qwen3", "Qwen3"),',
@@ -68,15 +39,15 @@ def main():
'("qwen3", "Qwen3")\n',
'("qwen3", "Qwen3"),\n ("qwen3_5", "Qwen3_5"),\n ("qwen3_5_moe", "Qwen3_5_MoE"),\n',
),
])
], required=True, already_contains='("qwen3_5_moe", "Qwen3_5_MoE")')
print(f"\n=== Patching {MODELS_INIT} ===")
patch_file(MODELS_INIT, [
(
"from .qwen3 import *\n",
"from .qwen3 import *\n from .qwen3_5 import *\n from .qwen3_5_moe import *\n",
),
])
replace_once(
MODELS_INIT,
"from .qwen3 import *\n",
"from .qwen3 import *\n from .qwen3_5 import *\n from .qwen3_5_moe import *\n",
required=True,
already_contains="from .qwen3_5_moe import *")
# Verification
print("\n=== Verification ===")
@@ -88,28 +59,31 @@ def main():
mod = importlib.util.module_from_spec(spec)
mod.__package__ = ".".join(module_name.split(".")[:-1])
pkg = sys.modules.setdefault("transformers", types.ModuleType("transformers"))
pkg.__path__ = [TRANSFORMERS_ROOT]
pkg.__path__ = [str(TRANSFORMERS_ROOT)]
cu = sys.modules.setdefault(
"transformers.configuration_utils", types.ModuleType("transformers.configuration_utils"))
class _PC:
def __init__(self, **kwargs): pass
def __init__(self, **kwargs):
return None
cu.PretrainedConfig = _PC
for sub in ("transformers.models", f"transformers.models.{module_name.split('.')[-2]}"):
m = sys.modules.setdefault(sub, types.ModuleType(sub))
m.__path__ = [TRANSFORMERS_ROOT]
m.__path__ = [str(TRANSFORMERS_ROOT)]
spec.loader.exec_module(mod)
return mod
mod27 = _load_config_mod(
"transformers.models.qwen3_5.configuration_qwen3_5",
f"{TRANSFORMERS_ROOT}/models/qwen3_5/configuration_qwen3_5.py",
str(TRANSFORMERS_ROOT / "models" / "qwen3_5" /
"configuration_qwen3_5.py"),
)
cfg = mod27.Qwen3_5Config()
print(f" Qwen3_5Config() smoke-test OK (model_type={cfg.model_type})")
mod35 = _load_config_mod(
"transformers.models.qwen3_5_moe.configuration_qwen3_5_moe",
f"{TRANSFORMERS_ROOT}/models/qwen3_5_moe/configuration_qwen3_5_moe.py",
str(TRANSFORMERS_ROOT / "models" / "qwen3_5_moe" /
"configuration_qwen3_5_moe.py"),
)
moe_cfg = mod35.Qwen3_5MoeConfig()
print(f" Qwen3_5MoeConfig() smoke-test OK (model_type={moe_cfg.model_type})")
@@ -117,7 +91,7 @@ def main():
print(f" num_experts={t.num_experts}, top_k={t.num_experts_per_tok}, "
f"shared={t.shared_expert_intermediate_size}, layers={t.num_hidden_layers}")
except Exception as e:
print(f" [warn] smoke-test failed (may be fine at runtime): {e}")
print(f" [optional] smoke-test failed (may be fine at runtime): {e}")
print("\nDone.")