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2f74e93d7e
* pre-commit all files check * reduce min num_blocks_local * fix nranks=1 * pre-commit when commit-msg
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import difflib
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from paddleformers.trl.llm_utils import init_dist_env
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from fastdeploy.rl.rollout_config import RolloutModelConfig
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from fastdeploy.rl.rollout_model import RolloutModel
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_, ranks = init_dist_env()
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parser = argparse.ArgumentParser()
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parser.add_argument("--model_path", type=str, required=True, help="Path to the model directory")
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args = parser.parse_args()
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# base result
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model_path = args.model_path
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# Usage example:
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init_kwargs = {
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"model_name_or_path": model_path,
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"max_model_len": 32768,
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"tensor_parallel_size": ranks,
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"dynamic_load_weight": True,
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"load_strategy": "ipc_snapshot",
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"enable_mm": True,
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"quantization": "wint8",
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}
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rollout_config = RolloutModelConfig(**init_kwargs)
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actor_eval_model = RolloutModel(rollout_config)
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content = ""
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for k, v in actor_eval_model.state_dict().items():
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content += f"{k}\n"
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for k, v in actor_eval_model.get_name_mappings_to_training().items():
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content += f"{k}:{v}\n"
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def compare_strings(a: str, b: str) -> bool:
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if a == b:
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print("✅ 两个字符串完全一致")
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return True
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print("❌ 字符串不一致，差异如下（上下文差异显示）：")
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diff = difflib.ndiff(a.splitlines(), b.splitlines())
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for line in diff:
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if line.startswith("- ") or line.startswith("+ "):
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print(line)
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return False
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with open("baseline.txt", "r", encoding="utf-8") as f:
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baseline = f.read()
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assert compare_strings(baseline, content), (
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"In the unittest of RL scenario, your modification "
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"caused inconsistency in the content before and after. Please fix it. "
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"Can request assistance from yuanlehome or gzy19990617 (github id)."
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)
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