8030a11b96
project_7 docker build 已在竞赛平台验证成功。 完整搬运 wudixzy/competition stack: - qwen3_5.py 2615 行 (12 个 corex .so 调用) - patch_ops.sh 251 行 (set -eo pipefail + cd dirname) - 12 prebuilt corex .so (SHA256 verified) - 13 CUDA .cu 源码 + 11 build scripts - 9 vendor overrides (block/sampler/scheduler) - transformers-4.55.3 offline wheel - computility-run.yaml: 262144 max-model-len, BI100 env vars - Dockerfile 结构不变 (COPY qwen3_6_scripts + RUN patch_ops.sh)
101 lines
4.1 KiB
Python
101 lines
4.1 KiB
Python
"""
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Patches transformers 4.55.3 to register qwen3_5 and qwen3_5_moe model types.
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Deploy steps on the remote machine:
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1. patch_ops.sh locates transformers with importlib.util.find_spec.
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2. cp -r modified_scripts/qwen3_5* into the detected transformers/models.
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3. python3 modified_scripts/patch_transformers_qwen3_5.py
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"""
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import sys
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from patch_utils import package_root, replace_once, replace_one_of
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TRANSFORMERS_ROOT = package_root("transformers")
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AUTO_CONFIG = TRANSFORMERS_ROOT / "models" / "auto" / "configuration_auto.py"
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MODELS_INIT = TRANSFORMERS_ROOT / "models" / "__init__.py"
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def main():
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print(f"=== Patching {AUTO_CONFIG} ===")
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replace_one_of(AUTO_CONFIG, [
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# CONFIG_MAPPING_NAMES: insert qwen3_5 + qwen3_5_moe right after qwen3
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(
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'("qwen3", "Qwen3Config"),',
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'("qwen3", "Qwen3Config"),\n ("qwen3_5", "Qwen3_5Config"),\n ("qwen3_5_moe", "Qwen3_5MoeConfig"),',
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),
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(
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'("qwen3", "Qwen3Config")\n',
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'("qwen3", "Qwen3Config"),\n ("qwen3_5", "Qwen3_5Config"),\n ("qwen3_5_moe", "Qwen3_5MoeConfig"),\n',
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),
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], required=True, already_contains='("qwen3_5_moe", "Qwen3_5MoeConfig")')
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replace_one_of(AUTO_CONFIG, [
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# MODEL_NAMES_MAPPING (model_type -> human readable name)
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(
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'("qwen3", "Qwen3"),',
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'("qwen3", "Qwen3"),\n ("qwen3_5", "Qwen3_5"),\n ("qwen3_5_moe", "Qwen3_5_MoE"),',
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),
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(
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'("qwen3", "Qwen3")\n',
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'("qwen3", "Qwen3"),\n ("qwen3_5", "Qwen3_5"),\n ("qwen3_5_moe", "Qwen3_5_MoE"),\n',
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),
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], required=True, already_contains='("qwen3_5_moe", "Qwen3_5_MoE")')
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print(f"\n=== Patching {MODELS_INIT} ===")
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replace_once(
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MODELS_INIT,
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"from .qwen3 import *\n",
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"from .qwen3 import *\n from .qwen3_5 import *\n from .qwen3_5_moe import *\n",
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required=True,
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already_contains="from .qwen3_5_moe import *")
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# Verification
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print("\n=== Verification ===")
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try:
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import importlib.util, types
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def _load_config_mod(module_name, file_path):
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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mod = importlib.util.module_from_spec(spec)
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mod.__package__ = ".".join(module_name.split(".")[:-1])
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pkg = sys.modules.setdefault("transformers", types.ModuleType("transformers"))
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pkg.__path__ = [str(TRANSFORMERS_ROOT)]
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cu = sys.modules.setdefault(
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"transformers.configuration_utils", types.ModuleType("transformers.configuration_utils"))
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class _PC:
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def __init__(self, **kwargs):
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return None
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cu.PretrainedConfig = _PC
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for sub in ("transformers.models", f"transformers.models.{module_name.split('.')[-2]}"):
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m = sys.modules.setdefault(sub, types.ModuleType(sub))
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m.__path__ = [str(TRANSFORMERS_ROOT)]
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spec.loader.exec_module(mod)
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return mod
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mod27 = _load_config_mod(
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"transformers.models.qwen3_5.configuration_qwen3_5",
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str(TRANSFORMERS_ROOT / "models" / "qwen3_5" /
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"configuration_qwen3_5.py"),
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)
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cfg = mod27.Qwen3_5Config()
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print(f" Qwen3_5Config() smoke-test OK (model_type={cfg.model_type})")
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mod35 = _load_config_mod(
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"transformers.models.qwen3_5_moe.configuration_qwen3_5_moe",
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str(TRANSFORMERS_ROOT / "models" / "qwen3_5_moe" /
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"configuration_qwen3_5_moe.py"),
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)
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moe_cfg = mod35.Qwen3_5MoeConfig()
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print(f" Qwen3_5MoeConfig() smoke-test OK (model_type={moe_cfg.model_type})")
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t = moe_cfg.text_config
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print(f" num_experts={t.num_experts}, top_k={t.num_experts_per_tok}, "
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f"shared={t.shared_expert_intermediate_size}, layers={t.num_hidden_layers}")
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except Exception as e:
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print(f" [optional] smoke-test failed (may be fine at runtime): {e}")
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print("\nDone.")
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if __name__ == "__main__":
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main()
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