Traceback (most recent call last): File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 857, in __init__ code = compile(arg_to_compile, '<string>', 'eval') ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "<string>", line 1 mysql+aiomysql://root:[email protected]/prison ^ SyntaxError: invalid decimal literal During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/junsi/code/integration-platform/module/main/new.py", line 73, in <module> class DatabaseSettings(BaseModel): File "/home/junsi/code/integration-platform/module/main/new.py", line 84, in DatabaseSettings def get_dburl(self) -> Union[str, URL]: ~~~~~^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 355, in inner return cached(*args, **kwds) ^^^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 481, in __getitem__ return self._getitem(self, parameters) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 694, in Union parameters = tuple(_type_check(p, msg) for p in parameters) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 694, in <genexpr> parameters = tuple(_type_check(p, msg) for p in parameters) ^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 186, in _type_check arg = _type_convert(arg, module=module, allow_special_forms=allow_special_forms) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 164, in _type_convert return ForwardRef(arg, module=module, is_class=allow_special_forms) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/junsi/anaconda3/lib/python3.11/typing.py", line 859, in __init__ raise SyntaxError(f"Forward reference must be an expression -- got {arg!r}") SyntaxError: Forward reference must be an expression -- got 'mysql+aiomysql://root:[email protected]/prison'

时间: 2025-06-18 17:14:56 浏览: 19
<think>我们正在处理一个关于使用aiomysql连接数据库时出现的SyntaxError:invaliddecimalliteral错误。根据用户描述,问题出现在数据库连接字符串中。结合之前的讨论,这个错误通常与无效的数字字面量有关,但在数据库连接字符串的上下文中,可能涉及其他原因。用户提到“mysql+aiomysql”连接字符串,这通常用于异步MySQL连接(例如在SQLAlchemy中)。错误信息“invaliddecimalliteral”以及“forwardreferenceissue”提示我们可能在连接字符串中有不合法的数字表示。可能的原因:1.**连接字符串中的数字格式问题**:例如,在连接字符串的某些部分(如端口号)后面意外添加了非数字字符。2.**连接字符串格式错误**:特别是在使用SQLAlchemy的数据库URL时,如果格式不正确,可能会被误解。3.**环境变量中的隐藏字符**:如果连接字符串来自环境变量,可能包含不可见的特殊字符(如空格、换行符等)。解决方案步骤:步骤1:检查连接字符串的格式一个标准的mysql+aiomysql连接字符串格式为:`mysql+aiomysql://<username>:<password>@<host>:<port>/<database>`注意:-端口号必须是整数,且不应包含任何非数字字符(例如:3306是正确的,而3306a则会导致错误)。-密码中如果包含特殊字符(如@、:、/等),需要进行URL编码。步骤2:检查端口号确保端口号是一个纯数字字符串,并且没有额外的字符。例如:-错误示例:`mysql+aiomysql://user:pass@localhost:3306a/mydb`(端口号3306a包含字母)-正确示例:`mysql+aiomysql://user:pass@localhost:3306/mydb`步骤3:检查密码中的特殊字符如果密码中包含特殊字符,使用`urllib.parse.quote_plus`进行编码。示例代码:```pythonfromsqlalchemy.engineimportcreate_enginefromurllib.parseimportquote_pluspassword="p@ssw0rd:123"encoded_password=quote_plus(password)#构建连接字符串DATABASE_URL=f"mysql+aiomysql://user:{encoded_password}@localhost:3306/mydb"engine=create_engine(DATABASE_URL)```步骤4:检查连接字符串中的隐藏字符如果连接字符串是从环境变量或文件中读取的,使用`repr()`打印原始字符串,查看是否有不可见字符。示例:```pythonimportosDATABASE_URL=os.getenv("DATABASE_URL")print(repr(DATABASE_URL))#显示原始字符串,包括特殊字符```步骤5:使用异步引擎的正确方式在使用aiomysql时,确保使用异步引擎和异步会话。注意:在异步环境中,创建引擎时可能需要设置`future=True`(SQLAlchemy1.4+)并使用`AsyncSession`。示例(使用SQLAlchemy1.4+):```pythonfromsqlalchemy.ext.asyncioimportcreate_async_engine,AsyncSessionengine=create_async_engine(DATABASE_URL,future=True)async_session=sessionmaker(engine,expire_on_commit=False,class_=AsyncSession)```步骤6:处理前向引用问题(forwardreferenceissue)这个错误可能与类型注解中的前向引用有关(特别是在使用Python旧版本时)。确保在需要前向引用的地方使用字符串形式的注解。例如,在定义模型关系时:```pythonclassParent(Base):__tablename__='parent'id=Column(Integer,primary_key=True)children=relationship("Child",back_populates="parent")#使用字符串避免前向引用classChild(Base):__tablename__='child'id=Column(Integer,primary_key=True)parent_id=Column(Integer,ForeignKey('parent.id'))parent=relationship("Parent",back_populates="children")```总结:1.检查连接字符串的端口号部分是否为纯数字。2.对密码中的特殊字符进行URL编码。3.检查连接字符串中是否有隐藏字符。4.确保正确使用异步引擎和会话。5.在模型关系中使用字符串避免前向引用问题。如果问题仍然存在,请提供连接字符串的示例(隐藏敏感信息)和完整的错误堆栈,以便进一步分析。相关问题:1.如何正确构建SQLAlchemy的异步数据库连接字符串?2.在Python中如何处理URL编码的特殊字符?3.异步数据库操作在Python中如何实现?4.SQLAlchemy中如何解决模型关系的前向引用问题?</think>### 解决 MySQL + aiomysql 连接字符串的 SyntaxError: invalid decimal literal 问题 当使用 `mysql+aiomysql` 数据库连接字符串时出现此错误,通常是由于 **连接字符串格式错误** 或 **特殊字符处理不当** 导致的。以下是具体解决方案: --- #### 一、连接字符串格式问题(最常见原因) **问题原因**: 连接字符串中的端口号格式错误或包含非法字符: ```python # 错误示例 - 端口号包含非数字字符 DATABASE_URL = "mysql+aiomysql://user:pass@host:3306a/db" # 端口号3306a含字母 ``` **解决方案**: 1. **严格验证端口号格式**: ```python # ✅ 正确格式 - 纯数字端口号 DATABASE_URL = "mysql+aiomysql://user:password@host:3306/database" ``` 2. **使用配置对象替代字符串**(推荐): ```python from sqlalchemy.engine import URL connection_url = URL.create( "mysql+aiomysql", username="user", password="pass", host="localhost", port=3306, # 明确指定整数类型 database="db" ) ``` --- #### 二、密码特殊字符问题 **问题原因**: 密码包含 `@`、`:`、`/` 等特殊字符时未转义: ```python # 错误示例 - 密码含未转义的@符号 DATABASE_URL = "mysql+aiomysql://user:p@ssword@host/db" ``` **解决方案**: ```python from urllib.parse import quote_plus password = "p@ssw:rd/123" encoded_password = quote_plus(password) # 特殊字符转义 DATABASE_URL = f"mysql+aiomysql://user:{encoded_password}@host:3306/db" ``` --- #### 三、异步引擎初始化问题 **问题原因**: 使用旧版 SQLAlchemy 异步 API 导致字面量解析错误: ```python # 错误示例 - 旧版create_engine用法 engine = create_engine(DATABASE_URL) # 不兼容异步 ``` **解决方案**(SQLAlchemy 1.4+): ```python from sqlalchemy.ext.asyncio import create_async_engine # ✅ 正确初始化异步引擎 engine = create_async_engine( "mysql+aiomysql://user:pass@host:3306/db", pool_recycle=3600, echo=True # 调试SQL ) ``` --- #### 四、环境变量隐藏字符问题 **问题原因**: 从 `.env` 文件读取的连接字符串包含不可见字符: ```bash # .env 文件示例(末尾有空格) DATABASE_URL="mysql+aiomysql://user:pass@host:3306/db " ``` **检测方法**: ```python import os print(repr(os.getenv("DATABASE_URL"))) # 显示原始字符串 ``` **解决方案**: ```python # 清除首尾不可见字符 db_url = os.getenv("DATABASE_URL").strip() ``` --- ### 完整解决方案示例 ```python import os from urllib.parse import quote_plus from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession # 1. 处理环境变量 raw_url = os.getenv("DB_URL", "").strip() # 2. 转义特殊字符 user, password, host, db = "user", "p@ss", "localhost", "mydb" safe_password = quote_plus(password) # 3. 构建安全连接字符串 DATABASE_URL = f"mysql+aiomysql://{user}:{safe_password}@{host}:3306/{db}" # 4. 创建异步引擎 engine = create_async_engine(DATABASE_URL, pool_pre_ping=True) # 5. 使用异步会话 async with AsyncSession(engine) as session: result = await session.execute("SELECT 1") print(result.scalar()) ``` > **关键点**:始终使用 `create_async_engine` 代替 `create_engine`,对密码进行 URL 编码,验证端口号为纯数字[^1][^2]。 --- ### 常见错误对照表 | 错误场景 | 错误示例 | 修复方案 | |----------|----------|----------| | 端口号含字母 | `@host:3306a/db` | `@host:3306/db` | | 密码未转义 | `:p@ssword@` | `:p%40ssword%40` | | 使用同步引擎 | `create_engine()` | `create_async_engine()` | | 隐藏空格 | `"url "` | `.strip()` |
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Traceback (most recent call last): File "/home/hpe/zj/Rein/tools/test.py", line 144, in <module> main() File "/home/hpe/zj/Rein/tools/test.py", line 140, in main runner.test() File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/runner/runner.py", line 1823, in test metrics = self.test_loop.run() # type: ignore ^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/runner/loops.py", line 462, in run for idx, data_batch in enumerate(self.dataloader): File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 633, in __next__ data = self._next_data() ^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1345, in _next_data return self._process_data(data) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1371, in _process_data data.reraise() File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/_utils.py", line 644, in reraise raise exception RuntimeError: Caught RuntimeError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop data = fetcher.fetch(index) ^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 51, in data = [self.dataset[idx] for idx in possibly_batched_index] ~~~~~~~~~~~~^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/dataset/dataset_wrapper.py", line 171, in __getitem__ return self.datasets[dataset_idx][sample_idx] ~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/dataset/base_dataset.py", line 410, in __getitem__ data = self.prepare_data(idx) ^^^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/dataset/base_dataset.py", line 793, in prepare_data return self.pipeline(data_info) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmengine/dataset/base_dataset.py", line 60, in __call__ data = t(data) ^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmcv/transforms/base.py", line 12, in __call__ return self.transform(results) ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmseg/datasets/transforms/formatting.py", line 72, in transform img = to_tensor(img).contiguous() ^^^^^^^^^^^^^^ File "/home/hpe/anaconda3/envs/rein/lib/python3.11/site-packages/mmcv/transforms/formatting.py", line 31, in to_tensor return torch.from_numpy(data) ^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: Numpy is not available

/home/wiseatc/.local/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources W0703 16:13:22.516433 3913223 torch/distributed/run.py:766] W0703 16:13:22.516433 3913223 torch/distributed/run.py:766] ***************************************** W0703 16:13:22.516433 3913223 torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. W0703 16:13:22.516433 3913223 torch/distributed/run.py:766] ***************************************** /home/wiseatc/.local/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources /home/wiseatc/.local/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources /home/wiseatc/.local/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources /home/wiseatc/.local/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources [rank0]: Traceback (most recent call last): [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1863, in _get_module [rank0]: return importlib.import_module("." + module_name, self.__name__) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module [rank0]: return _bootstrap._gcd_import(name[level:], package, level) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "<frozen importlib._bootstrap>", line 1206, in _gcd_import [rank0]: File "<frozen importlib._bootstrap>", line 1178, in _find_and_load [rank0]: File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked [rank0]: File "<frozen importlib._bootstrap>", line 690, in _load_unlocked [rank0]: File "<frozen importlib._bootstrap_external>", line 940, in exec_module [rank0]: File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama_fast.py", line 29, in <module> [rank0]: from .tokenization_llama import LlamaTokenizer [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama.py", line 27, in <module> [rank0]: import sentencepiece as spm [rank0]: File "/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py", line 10, in <module> [rank0]: from . import _sentencepiece [rank0]: ImportError: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank0]: The above exception was the direct cause of the following exception: [rank0]: Traceback (most recent call last): [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 82, in load_tokenizer [rank0]: tokenizer = AutoTokenizer.from_pretrained( [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 912, in from_pretrained [rank0]: tokenizer_class_from_name(config_tokenizer_class) is not None [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 611, in tokenizer_class_from_name [rank0]: return getattr(module, class_name) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1851, in __getattr__ [rank0]: module = self._get_module(self._class_to_module[name]) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1865, in _get_module [rank0]: raise RuntimeError( [rank0]: RuntimeError: Failed to import transformers.models.llama.tokenization_llama_fast because of the following error (look up to see its traceback): [rank0]: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank0]: The above exception was the direct cause of the following exception: [rank0]: Traceback (most recent call last): [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 23, in <module> [rank0]: launch() [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 19, in launch [rank0]: run_exp() [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 110, in run_exp [rank0]: _training_function(config={"args": args, "callbacks": callbacks}) [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 72, in _training_function [rank0]: run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks) [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/sft/workflow.py", line 48, in run_sft [rank0]: tokenizer_module = load_tokenizer(model_args) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 97, in load_tokenizer [rank0]: raise OSError("Failed to load tokenizer.") from e [rank0]: OSError: Failed to load tokenizer. [rank3]: Traceback (most recent call last): [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1863, in _get_module [rank3]: return importlib.import_module("." + module_name, self.__name__) [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module [rank3]: return _bootstrap._gcd_import(name[level:], package, level) [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "<frozen importlib._bootstrap>", line 1206, in _gcd_import [rank3]: File "<frozen importlib._bootstrap>", line 1178, in _find_and_load [rank3]: File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked [rank3]: File "<frozen importlib._bootstrap>", line 690, in _load_unlocked [rank3]: File "<frozen importlib._bootstrap_external>", line 940, in exec_module [rank3]: File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama_fast.py", line 29, in <module> [rank3]: from .tokenization_llama import LlamaTokenizer [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama.py", line 27, in <module> [rank3]: import sentencepiece as spm [rank3]: File "/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py", line 10, in <module> [rank3]: from . import _sentencepiece [rank3]: ImportError: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank3]: The above exception was the direct cause of the following exception: [rank3]: Traceback (most recent call last): [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 82, in load_tokenizer [rank3]: tokenizer = AutoTokenizer.from_pretrained( [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 912, in from_pretrained [rank3]: tokenizer_class_from_name(config_tokenizer_class) is not None [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 611, in tokenizer_class_from_name [rank3]: return getattr(module, class_name) [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1851, in __getattr__ [rank3]: module = self._get_module(self._class_to_module[name]) [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1865, in _get_module [rank3]: raise RuntimeError( [rank3]: RuntimeError: Failed to import transformers.models.llama.tokenization_llama_fast because of the following error (look up to see its traceback): [rank3]: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank3]: The above exception was the direct cause of the following exception: [rank3]: Traceback (most recent call last): [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 23, in <module> [rank3]: launch() [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 19, in launch [rank3]: run_exp() [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 110, in run_exp [rank3]: _training_function(config={"args": args, "callbacks": callbacks}) [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 72, in _training_function [rank3]: run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks) [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/sft/workflow.py", line 48, in run_sft [rank3]: tokenizer_module = load_tokenizer(model_args) [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank3]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 97, in load_tokenizer [rank3]: raise OSError("Failed to load tokenizer.") from e [rank3]: OSError: Failed to load tokenizer. [rank1]: Traceback (most recent call last): [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1863, in _get_module [rank1]: return importlib.import_module("." + module_name, self.__name__) [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module [rank1]: return _bootstrap._gcd_import(name[level:], package, level) [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "<frozen importlib._bootstrap>", line 1206, in _gcd_import [rank1]: File "<frozen importlib._bootstrap>", line 1178, in _find_and_load [rank1]: File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked [rank1]: File "<frozen importlib._bootstrap>", line 690, in _load_unlocked [rank1]: File "<frozen importlib._bootstrap_external>", line 940, in exec_module [rank1]: File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama_fast.py", line 29, in <module> [rank1]: from .tokenization_llama import LlamaTokenizer [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama.py", line 27, in <module> [rank1]: import sentencepiece as spm [rank1]: File "/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py", line 10, in <module> [rank1]: from . import _sentencepiece [rank1]: ImportError: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank1]: The above exception was the direct cause of the following exception: [rank1]: Traceback (most recent call last): [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 82, in load_tokenizer [rank1]: tokenizer = AutoTokenizer.from_pretrained( [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 912, in from_pretrained [rank1]: tokenizer_class_from_name(config_tokenizer_class) is not None [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 611, in tokenizer_class_from_name [rank1]: return getattr(module, class_name) [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1851, in __getattr__ [rank1]: module = self._get_module(self._class_to_module[name]) [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1865, in _get_module [rank1]: raise RuntimeError( [rank1]: RuntimeError: Failed to import transformers.models.llama.tokenization_llama_fast because of the following error (look up to see its traceback): [rank1]: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank1]: The above exception was the direct cause of the following exception: [rank1]: Traceback (most recent call last): [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 23, in <module> [rank1]: launch() [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 19, in launch [rank1]: run_exp() [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 110, in run_exp [rank1]: _training_function(config={"args": args, "callbacks": callbacks}) [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 72, in _training_function [rank1]: run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks) [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/sft/workflow.py", line 48, in run_sft [rank1]: tokenizer_module = load_tokenizer(model_args) [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank1]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 97, in load_tokenizer [rank1]: raise OSError("Failed to load tokenizer.") from e [rank1]: OSError: Failed to load tokenizer. [rank2]: Traceback (most recent call last): [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1863, in _get_module [rank2]: return importlib.import_module("." + module_name, self.__name__) [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module [rank2]: return _bootstrap._gcd_import(name[level:], package, level) [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "<frozen importlib._bootstrap>", line 1206, in _gcd_import [rank2]: File "<frozen importlib._bootstrap>", line 1178, in _find_and_load [rank2]: File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked [rank2]: File "<frozen importlib._bootstrap>", line 690, in _load_unlocked [rank2]: File "<frozen importlib._bootstrap_external>", line 940, in exec_module [rank2]: File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama_fast.py", line 29, in <module> [rank2]: from .tokenization_llama import LlamaTokenizer [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/llama/tokenization_llama.py", line 27, in <module> [rank2]: import sentencepiece as spm [rank2]: File "/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py", line 10, in <module> [rank2]: from . import _sentencepiece [rank2]: ImportError: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank2]: The above exception was the direct cause of the following exception: [rank2]: Traceback (most recent call last): [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 82, in load_tokenizer [rank2]: tokenizer = AutoTokenizer.from_pretrained( [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 912, in from_pretrained [rank2]: tokenizer_class_from_name(config_tokenizer_class) is not None [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/tokenization_auto.py", line 611, in tokenizer_class_from_name [rank2]: return getattr(module, class_name) [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1851, in __getattr__ [rank2]: module = self._get_module(self._class_to_module[name]) [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1865, in _get_module [rank2]: raise RuntimeError( [rank2]: RuntimeError: Failed to import transformers.models.llama.tokenization_llama_fast because of the following error (look up to see its traceback): [rank2]: cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import) (/usr/local/lib/python3.11/dist-packages/sentencepiece/__init__.py) [rank2]: The above exception was the direct cause of the following exception: [rank2]: Traceback (most recent call last): [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 23, in <module> [rank2]: launch() [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py", line 19, in launch [rank2]: run_exp() [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 110, in run_exp [rank2]: _training_function(config={"args": args, "callbacks": callbacks}) [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/tuner.py", line 72, in _training_function [rank2]: run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks) [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/train/sft/workflow.py", line 48, in run_sft [rank2]: tokenizer_module = load_tokenizer(model_args) [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank2]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/model/loader.py", line 97, in load_tokenizer [rank2]: raise OSError("Failed to load tokenizer.") from e [rank2]: OSError: Failed to load tokenizer. [rank0]:[W703 16:13:30.861219244 ProcessGroupNCCL.cpp:1479] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) W0703 16:13:31.449512 3913223 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3913282 closing signal SIGTERM W0703 16:13:31.450263 3913223 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3913283 closing signal SIGTERM W0703 16:13:31.450724 3913223 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3913284 closing signal SIGTERM E0703 16:13:31.765744 3913223 torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 3913281) of binary: /usr/bin/python3.11 Traceback (most recent call last): File "/usr/local/bin/torchrun", line 8, in <module> sys.exit(main()) ^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper return f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/distributed/run.py", line 892, in main run(args) File "/usr/local/lib/python3.11/dist-packages/torch/distributed/run.py", line 883, in run elastic_launch( File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 139, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/distributed/launcher/api.py", line 270, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ============================================================ /home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py FAILED ------------------------------------------------------------ Failures: <NO_OTHER_FAILURES> ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2025-07-03_16:13:31 host : wiseatc-Super-Server rank : 0 (local_rank: 0) exitcode : 1 (pid: 3913281) error_file: <N/A> traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ Traceback (most recent call last): File "/home/wiseatc/.local/bin/llamafactory-cli", line 8, in <module> sys.exit(main()) ^^^^^^ File "/home/wiseatc/LLaMA-Factory/src/llamafactory/cli.py", line 130, in main process = subprocess.run( ^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/subprocess.py", line 569, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['torchrun', '--nnodes', '1', '--node_rank', '0', '--nproc_per_node', '4', '--master_addr', '127.0.0.1', '--master_port', '38589', '/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py', 'saves/DeepSeek-R1-1.5B-Distill/lora/train_2025-07-03-16-00-01/training_args.yaml']' returned non-zero exit status 1.

!! cmd_obj.run() Traceback (most recent call last): File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2104, in _run_ninja_build subprocess.run( File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/subprocess.py", line 571, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 389, in <module> main() File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 373, in main json_out["return_val"] = hook(**hook_input["kwargs"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 303, in build_editable return hook(wheel_directory, config_settings, metadata_directory) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/setuptools/build_meta.py", line 476, in build_editable return self._build_with_temp_dir( ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/setuptools/build_meta.py", line 407, in _build_with_temp_dir self.run_setup() File "/home/zwan/anaconda3/envs/mast3r-slam/lib/python3.11/site-packages/setuptools/build_meta.py", line 320, in run_setup exec(code, locals()) File "<string>", line 49, in <module>

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