直接“pip install sentencepiece”也失败

时间: 2025-06-18 09:21:06 浏览: 71
<think>好的,我现在需要解决用户提到的pip安装sentencepiece失败的问题。首先,我得回忆一下常见的pip安装包失败的原因。通常来说,这类问题可能涉及依赖缺失、编译器问题、网络问题或者特定平台的兼容性问题。 用户提供的引用中提到了几个可能相关的解决方案。比如引用[2]中提到了修改distutils.cfg文件,将编译器从mingw32改为msvc,这可能与编译扩展模块时需要的编译器有关。另外,引用[3]中提到需要安装Microsoft Visual C++ Build Tools,这可能是因为某些包需要C++编译器来编译原生代码。 sentencepiece是一个自然语言处理中常用的分词库,它包含C++代码,因此在安装时需要编译。如果用户的环境中没有安装合适的编译工具或者依赖库,就会导致安装失败。特别是在Windows系统上,这种情况比较常见,因为Windows默认可能没有安装C++构建工具。 接下来,我需要考虑用户可能的错误信息。例如,是否出现类似“Microsoft Visual C++ 14.0 or greater is required”这样的错误,这通常意味着需要安装Visual Studio的构建工具。或者,是否有关于头文件缺失的提示,比如无法找到io.h,这可能与路径配置有关。 根据引用[2]中的解决方案,修改distutils.cfg中的编译器设置可能有助于解决编译器不兼容的问题。而引用[3]则直接指出需要安装Microsoft C++ Build Tools。因此,这两个步骤可能是解决问题的关键。 此外,用户可能遇到的另一个问题是网络问题,比如SSL证书验证失败,如引用[1]中提到的。这时候可能需要添加信任的主机参数,或者在安装时使用镜像源。不过sentencepiece的安装是否需要从特定源下载还需要确认。 总结可能的解决步骤: 1. 安装Microsoft Visual C++ Build Tools,确保有可用的编译器。 2. 修改distutils.cfg文件,将编译器设置为msvc。 3. 尝试使用预编译的wheel文件,避免从源码编译。 4. 使用--global-option或指定信任主机的方式安装。 5. 检查Python环境是否正确,比如是否使用了conda环境,或者是否需要更新pip和setuptools。 需要验证这些步骤是否适用于sentencepiece的具体情况。例如,sentencepiece是否有预编译的wheel文件在PyPI上,这取决于用户的Python版本和系统架构。如果用户的环境是Windows且Python版本较新,可能有可用的wheel,这样就不需要本地编译了。如果没有,就必须确保编译环境正确。 另外,如果用户使用的是Anaconda,可以尝试通过conda安装sentencepiece,因为conda的仓库可能包含预编译的二进制文件,避免编译步骤。但用户的问题是关于pip安装失败,所以可能需要优先解决pip的问题。 最后,需要将这些步骤整理成用户容易理解的指导,分点说明,并附上相关引用中的解决方法作为参考。同时,生成相关问题,帮助用户进一步排查其他可能的问题。</think>### pip安装sentencepiece失败的解决方案 #### 1. **安装Microsoft Visual C++ Build Tools** - **原因**:sentencepiece包含需要编译的C++代码,Windows系统默认缺少C++编译环境。 - **操作**: 1. 下载并安装 [Microsoft C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/),勾选“C++桌面开发”组件。 2. 安装完成后重启系统,确保环境变量生效[^3]。 #### 2. **修复Python编译配置** - **原因**:Python可能错误地使用MinGW编译器而非MSVC。 - **操作**: 1. 找到Python安装目录下的 `Lib\distutils\distutils.cfg` 文件(Anaconda路径类似 `Anaconda3\Lib\distutils\distutils.cfg`)。 2. 修改文件内容为: ```ini [build] compiler=msvc ``` 3. 保存后重新尝试安装[^2]。 #### 3. **使用预编译的二进制文件** - **原因**:PyPI可能未提供对应平台的预编译包,需手动指定。 - **操作**: 1. 访问 [Unofficial Windows Binaries for Python](https://www.lfd.uci.edu/~gohlke/pythonlibs/#sentencepiece),下载与Python版本及系统(如`cp39-win_amd64`)匹配的 `.whl` 文件。 2. 通过命令行安装: ```bash pip install 下载路径/sentencepiece-0.1.99-cp39-cp39-win_amd64.whl ``` #### 4. **添加信任参数绕过SSL验证(仅限临时使用)** - **原因**:证书问题可能阻断下载。 - **操作**: ```bash pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org sentencepiece ``` #### 5. **使用Conda安装(替代方案)** - **操作**: ```bash conda install -c conda-forge sentencepiece ``` ---
阅读全文

相关推荐

liuxiaoquan@192 ComfyUI % pip install sentencepiece Collecting sentencepiece Using cached sentencepiece-0.2.0.tar.gz (2.6 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Building wheels for collected packages: sentencepiece Building wheel for sentencepiece (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for sentencepiece (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [134 lines of output] /private/var/folders/58/s36ty3bn6bbd05gf79j9fg4w0000gn/T/pip-build-env-vf9ck0_e/overlay/lib/python3.13/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /private/var/folders/58/s36ty3bn6bbd05gf79j9fg4w0000gn/T/pip-build-env-vf9ck0_e/overlay/lib/python3.13/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: Apache Software License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running bdist_wheel running build running build_py creating build/lib.macosx-10.13-universal2-cpython-313/sentencepiece copying src/sentencepiece/__init__.py -> build/lib.macosx-10.13-universal2-cpython-313/sentencepiece copying src/sentencepiece/_version.py -> build/lib.macosx-10.13-universal2-cpython-313/sentencepiece copying src/sentencepiece/sentencepiece_model_pb2.py -> build/lib.macosx-10.13-u

(.venv) PS D:\python-project> pip install promptbench Collecting promptbench Using cached promptbench-0.0.4-py3-none-any.whl.metadata (15 kB) Requirement already satisfied: autocorrect==2.6.1 in d:\python-project\.venv\lib\site-packages (from promptbench) (2.6.1) Requirement already satisfied: accelerate==0.25.0 in d:\python-project\.venv\lib\site-packages (from promptbench) (0.25.0) Requirement already satisfied: datasets>=2.15.0 in d:\python-project\.venv\lib\site-packages (from promptbench) (2.15.0) Requirement already satisfied: nltk==3.8.1 in d:\python-project\.venv\lib\site-packages (from promptbench) (3.8.1) Collecting openai==1.3.7 (from promptbench) Using cached openai-1.3.7-py3-none-any.whl.metadata (17 kB) Collecting sentencepiece==0.1.99 (from promptbench) Using cached sentencepiece-0.1.99.tar.gz (2.6 MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [17 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "", line 34, in <module> File "C:\Users\Windows\AppData\Local\Temp\pip-install-_mqgyztl\sentencepiece_e8c5fffe892f499c94d982da301f69db\setup.py", line 126, in <module> subprocess.check_call([ File "C:\Users\Windows\AppData\Local\Programs\Python\Python312\Lib\subprocess.py", line 408, in check_call retcode = call(*popenargs, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Windows\AppData\Local\Programs\Python\Python312\Lib\subprocess.py", line 389, in call with Popen(*popenargs, **kwargs) as p: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Windows\AppData\Local\Programs\Python\Python312\Lib\subprocess.py", line 1026, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "C:\Users\Windows\AppData\Local\Programs\Pyth

PS D:\llamafactory\LLaMA-Factory> pip install -e ".[torch,metrics]" --no-build-isolation Defaulting to user installation because normal site-packages is not writeable Obtaining file:///D:/llamafactory/LLaMA-Factory Checking if build backend supports build_editable ... done Preparing editable metadata (pyproject.toml) ... done Collecting transformers!=4.46.*,!=4.47.*,!=4.48.0,!=4.52.0,<=4.52.4,>=4.45.0 (from llamafactory==0.9.4.dev0) Using cached transformers-4.52.4-py3-none-any.whl.metadata (38 kB) Collecting datasets<=3.6.0,>=2.16.0 (from llamafactory==0.9.4.dev0) Using cached datasets-3.6.0-py3-none-any.whl.metadata (19 kB) Collecting accelerate<=1.7.0,>=1.3.0 (from llamafactory==0.9.4.dev0) Using cached accelerate-1.7.0-py3-none-any.whl.metadata (19 kB) Collecting peft<=0.15.2,>=0.14.0 (from llamafactory==0.9.4.dev0) Using cached peft-0.15.2-py3-none-any.whl.metadata (13 kB) Collecting trl<=0.9.6,>=0.8.6 (from llamafactory==0.9.4.dev0) Using cached trl-0.9.6-py3-none-any.whl.metadata (12 kB) Collecting tokenizers<=0.21.1,>=0.19.0 (from llamafactory==0.9.4.dev0) Using cached tokenizers-0.21.1-cp39-abi3-win_amd64.whl.metadata (6.9 kB) Collecting gradio<=5.31.0,>=4.38.0 (from llamafactory==0.9.4.dev0) Using cached gradio-5.31.0-py3-none-any.whl.metadata (16 kB) Collecting scipy (from llamafactory==0.9.4.dev0) Using cached scipy-1.16.0-cp313-cp313-win_amd64.whl.metadata (60 kB) Collecting einops (from llamafactory==0.9.4.dev0) Using cached einops-0.8.1-py3-none-any.whl.metadata (13 kB) Collecting sentencepiece (from llamafactory==0.9.4.dev0) Using cached sentencepiece-0.2.0.tar.gz (2.6 MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [48 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> exec(compile(''' ~~~~^^^^^^^^^^^^ # This is -- a caller that pip uses to run setup.py ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<32 lines>... exec(compile(setup_py_code, filename, "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ''' % ('C:\\Users\\李俊聪\\AppData\\Local\\Temp\\pip-install-evm0d6cf\\sentencepiece_964766ade6ee4932b83af3d035734491\\setup.py',), "", "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "", line 35, in <module> File "C:\Users\李俊聪\AppData\Local\Temp\pip-install-evm0d6cf\sentencepiece_964766ade6ee4932b83af3d035734491\setup.py", line 128, in <module> subprocess.check_call([ ~~~~~~~~~~~~~~~~~~~~~^^ 'cmake', ^^^^^^^^ ...<6 lines>... '-DCMAKE_INSTALL_PREFIX=build\\root', ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ]) ^^ File "C:\Python313\Lib\subprocess.py", line 414, in check_call retcode = call(*popenargs, **kwargs) File "C:\Python313\Lib\subprocess.py", line 395, in call with Popen(*popenargs, **kwargs) as p: ~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python313\Lib\subprocess.py", line 1039, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pass_fds, cwd, env, ^^^^^^^^^^^^^^^^^^^ ...<5 lines>... gid, gids, uid, umask, ^^^^^^^^^^^^^^^^^^^^^^ start_new_session, process_group) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python313\Lib\subprocess.py", line 1551, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ # no special security ^^^^^^^^^^^^^^^^^^^^^ ...<4 lines>... cwd, ^^^^ startupinfo) ^^^^^^^^^^^^ FileNotFoundError: [WinError 2] 系统找不到指定的文件。 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.

PS D:\llamafactory\LLaMA-Factory> pip install -e ".[torch,metrics]" Defaulting to user installation because normal site-packages is not writeable Obtaining file:///D:/llamafactory/LLaMA-Factory Installing build dependencies ... done Checking if build backend supports build_editable ... done Getting requirements to build editable ... done Preparing editable metadata (pyproject.toml) ... done WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(, 'Connection to pypi.org timed out. (connect timeout=15)')': /simple/transformers/ Collecting transformers!=4.46.*,!=4.47.*,!=4.48.0,!=4.52.0,<=4.52.4,>=4.45.0 (from llamafactory==0.9.4.dev0) Using cached transformers-4.52.4-py3-none-any.whl.metadata (38 kB) Collecting datasets<=3.6.0,>=2.16.0 (from llamafactory==0.9.4.dev0) Using cached datasets-3.6.0-py3-none-any.whl.metadata (19 kB) Collecting accelerate<=1.7.0,>=1.3.0 (from llamafactory==0.9.4.dev0) Using cached accelerate-1.7.0-py3-none-any.whl.metadata (19 kB) Collecting peft<=0.15.2,>=0.14.0 (from llamafactory==0.9.4.dev0) Using cached peft-0.15.2-py3-none-any.whl.metadata (13 kB) Collecting trl<=0.9.6,>=0.8.6 (from llamafactory==0.9.4.dev0) Using cached trl-0.9.6-py3-none-any.whl.metadata (12 kB) Collecting tokenizers<=0.21.1,>=0.19.0 (from llamafactory==0.9.4.dev0) Using cached tokenizers-0.21.1-cp39-abi3-win_amd64.whl.metadata (6.9 kB) Collecting gradio<=5.31.0,>=4.38.0 (from llamafactory==0.9.4.dev0) Using cached gradio-5.31.0-py3-none-any.whl.metadata (16 kB) Collecting scipy (from llamafactory==0.9.4.dev0) Using cached scipy-1.16.0-cp313-cp313-win_amd64.whl.metadata (60 kB) Collecting einops (from llamafactory==0.9.4.dev0) Using cached einops-0.8.1-py3-none-any.whl.metadata (13 kB) Collecting sentencepiece (from llamafactory==0.9.4.dev0) Using cached sentencepiece-0.2.0.tar.gz (2.6 MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [48 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> exec(compile(''' ~~~~^^^^^^^^^^^^ # This is -- a caller that pip uses to run setup.py ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<32 lines>... exec(compile(setup_py_code, filename, "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ''' % ('C:\\Users\\李俊聪\\AppData\\Local\\Temp\\pip-install-ps44onbi\\sentencepiece_5740a4154fc04f73a7ad1931efbb8fe6\\setup.py',), "", "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "", line 35, in <module> File "C:\Users\李俊聪\AppData\Local\Temp\pip-install-ps44onbi\sentencepiece_5740a4154fc04f73a7ad1931efbb8fe6\setup.py", line 128, in <module> subprocess.check_call([ ~~~~~~~~~~~~~~~~~~~~~^^ 'cmake', ^^^^^^^^ ...<6 lines>... '-DCMAKE_INSTALL_PREFIX=build\\root', ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ]) ^^ File "C:\Python313\Lib\subprocess.py", line 414, in check_call retcode = call(*popenargs, **kwargs) File "C:\Python313\Lib\subprocess.py", line 395, in call with Popen(*popenargs, **kwargs) as p: ~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python313\Lib\subprocess.py", line 1039, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pass_fds, cwd, env, ^^^^^^^^^^^^^^^^^^^ ...<5 lines>... gid, gids, uid, umask, ^^^^^^^^^^^^^^^^^^^^^^ start_new_session, process_group) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Python313\Lib\subprocess.py", line 1551, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ # no special security ^^^^^^^^^^^^^^^^^^^^^ ...<4 lines>... cwd, ^^^^ startupinfo) ^^^^^^^^^^^^ FileNotFoundError: [WinError 2] 系统找不到指定的文件。 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.

error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [48 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> exec(compile(''' ~~~~^^^^^^^^^^^^ # This is -- a caller that pip uses to run setup.py ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<32 lines>... exec(compile(setup_py_code, filename, "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ''' % ('C:\\Users\\DELL\\AppData\\Local\\Temp\\pip-install-_0wd61jg\\sentencepiece_8b6a631fd6674f3a8bdced010a093843\\setup.py',), "", "exec")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "", line 35, in <module> File "C:\Users\DELL\AppData\Local\Temp\pip-install-_0wd61jg\sentencepiece_8b6a631fd6674f3a8bdced010a093843\setup.py", line 128, in <module> subprocess.check_call([ ~~~~~~~~~~~~~~~~~~~~~^^ 'cmake', ^^^^^^^^ ...<6 lines>... '-DCMAKE_INSTALL_PREFIX=build\\root', ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ]) ^^ File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.1520.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 414, in check_call retcode = call(*popenargs, **kwargs) File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.1520.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 395, in call with Popen(*popenargs, **kwargs) as p: ~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.1520.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 1039, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pass_fds, cwd, env, ^^^^^^^^^^^^^^^^^^^ ...<5 lines>... gid, gids, uid, umask, ^^^^^^^^^^^^^^^^^^^^^^ start_new_session, process_group) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.1520.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 1554, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ # no special security ^^^^^^^^^^^^^^^^^^^^^ ...<4 lines>... cwd, ^^^^ startupinfo) ^^^^^^^^^^^^ FileNotFoundError: [WinError 2] 系统找不到指定的文件。 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details. 安装pyiqa出现的问题

D:\PythonProject\deepseekai\.venv\Scripts\python.exe D:\PythonProject\deepseekai\train_weather_model.py sentencepiece 已安装: 0.2.0 创建/下载: tokenizer.model 下载失败: 401 Client Error: Unauthorized for url: https://huggingface.co/deepseek-ai/deepseek-llm-1.3b-base/resolve/main/tokenizer.model 无法下载 tokenizer.model, 请手动下载 Traceback (most recent call last): File "D:\PythonProject\deepseekai\train_weather_model.py", line 134, in <module> tokenizer = LlamaTokenizer.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\transformers\tokenization_utils_base.py", line 2025, in from_pretrained return cls._from_pretrained( ^^^^^^^^^^^^^^^^^^^^^ File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\transformers\tokenization_utils_base.py", line 2278, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\transformers\models\llama\tokenization_llama.py", line 171, in __init__ self.sp_model = self.get_spm_processor(kwargs.pop("from_slow", False)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\transformers\models\llama\tokenization_llama.py", line 198, in get_spm_processor tokenizer.Load(self.vocab_file) File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\sentencepiece\__init__.py", line 961, in Load return self.LoadFromFile(model_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\PythonProject\deepseekai\.venv\Lib\site-packages\sentencepiece\__init__.py", line 316, in LoadFromFile return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: not a string Process finished with exit code 1

/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.

最新推荐

recommend-type

深度学习通用模块精选集

这份资源是一套聚焦深度学习领域的通用模块精选集,整合了从经典到近年前沿的 50 个核心组件(如注意力机制、特征增强模块、上下文建模单元等),覆盖目标检测、语义分割、域自适应等多个任务场景。 每个模块均严格从对应论文中提炼核心信息,按 “作用 - 机制 - 独特优势 - 带注释代码” 四部分结构化呈现: 明确模块解决的具体问题(如提升小目标检测精度、增强上下文感知能力); 拆解其工作逻辑(如多分支特征融合、循环注意力机制等); 总结相比同类方法的创新点(如轻量化设计、更高计算效率); 提供可直接运行的代码实现,注释详尽且适配主流框架(PyTorch 为主)。 资源旨在为研究者和开发者提供 “即插即用” 的工具包:无需逐篇翻阅论文,即可快速理解模块原理并嵌入自有网络测试效果,尤其适合赶实验、调模型或撰写论文时的模块选型与整合,助力高效完成 “模块缝合” 与性能优化。
recommend-type

500强企业管理表格模板大全

在当今商业环境中,管理表格作为企业运营和管理的重要工具,是确保组织高效运作的关键。世界500强企业在管理层面的成功,很大程度上得益于它们的规范化和精细化管理。本文件介绍的“世界500强企业管理表格经典”,是一份集合了多种管理表格模板的资源,能够帮助管理者们更有效地进行企业规划、执行和监控。 首先,“管理表格”这个概念在企业中通常指的是用于记录、分析、决策和沟通的各种文档和图表。这些表格不仅仅局限于纸质形式,更多地是以电子形式存在,如Excel、Word、PDF等文件格式。它们帮助企业管理者收集和整理数据,以及可视化信息,从而做出更加精准的决策。管理表格可以应用于多个领域,例如人力资源管理、财务预算、项目管理、销售统计等。 标题中提及的“世界500强”,即指那些在全球范围内运营且在《财富》杂志每年公布的全球500强企业排行榜上出现的大型公司。这些企业通常具备较为成熟和先进的管理理念,其管理表格往往经过长时间的实践检验,并且能够有效地提高工作效率和决策质量。 描述中提到的“规范化”是企业管理中的一个核心概念。规范化指的是制定明确的标准和流程,以确保各项管理活动的一致性和可预测性。管理表格的使用能够帮助实现管理规范化,使得管理工作有据可依、有章可循,减少因个人经验和随意性带来的风险和不确定性。规范化管理不仅提高了企业的透明度,还有利于培养员工的规则意识,加强团队之间的协调与合作。 “经典”一词在这里强调的是,这些管理表格模板是经过实践验证,能够适用于大多数管理场景的基本模式。由于它们的普适性和高效性,这些表格模板被广泛应用于不同行业和不同规模的企业之中。一个典型的例子是SWOT分析表,它可以帮助企业识别内部的优势(Strengths)、弱点(Weaknesses)以及外部的机会(Opportunities)和威胁(Threats)。SWOT分析表就是一个在世界500强企业中普遍使用的管理表格。 标签中的“表格模板”则是对上述管理工具的具体描述。这些模板通常是预先设计好的,能够帮助企业管理者快速开始工作,无需从零开始制作新的表格。它们包含了一些必备的字段和格式,用户可以根据自己的具体需求对模板进行调整和填充。 文件名称列表中的“index.html”可能是压缩包内的一个网页文件,用于展示管理表格的索引或介绍。如果这是一个在线资源,它将允许用户通过网页界面访问和下载各种表格模板。而“menu”可能是一个导航文件,用来帮助用户在多个表格模板之间进行选择。“data”文件夹可能包含了实际的表格模板文件,它们可能以Excel、Word等格式存在。 总的来说,管理表格是企业成功管理不可或缺的工具。通过使用世界500强企业所采纳的管理表格模板,其他企业可以借鉴这些顶级企业的管理经验,帮助自己在管理实践中达到更高的效率和质量。通过规范化和模板化的管理表格,企业可以确保其管理活动的一致性和标准化,这对于保持竞争力和实现长期发展至关重要。
recommend-type

YOLOv8目标检测算法深度剖析:从零开始构建高效检测系统(10大秘诀)

# 1. YOLOv8目标检测算法概述 ## 1.1 YOLOv8的简介与定位 YOLOv8(You Only Look Once version 8)作为一种前沿的目标检测算法,是由YOLO系列算法演化而来。该算法特别强调快速与准确的平衡,它被设计用于实时图像识别
recommend-type

mclmcrrt9_8.dll下载

<think>我们正在处理用户关于"mclmcrrt9_8.dll"文件的下载请求。根据引用内容,这个文件是MATLAB运行时库的一部分,通常与特定版本的MATLABRuntime相关联。用户需求:下载mclmcrrt9_8.dll的官方版本。分析:1.根据引用[2]和[3],mclmcrrt9_0_1.dll和mclmcrrt9_13.dll都是MATLABRuntime的文件,版本号对应MATLAB的版本(如9_0对应R2016a,9_13对应2022b)。2.因此,mclmcrrt9_8.dll应该对应于某个特定版本的MATLAB(可能是R2016b?因为9.8版本通常对应MATLABR
recommend-type

林锐博士C++编程指南与心得:初学者快速提能

首先,这份文件的核心在于学习和提高C++编程能力,特别是针对初学者。在这个过程中,需要掌握的不仅仅是编程语法和基本结构,更多的是理解和运用这些知识来解决实际问题。下面将详细解释一些重要的知识点。 ### 1. 学习C++基础知识 - **基本数据类型**: 在C++中,需要熟悉整型、浮点型、字符型等数据类型,以及它们的使用和相互转换。 - **变量与常量**: 学习如何声明变量和常量,并理解它们在程序中的作用。 - **控制结构**: 包括条件语句(if-else)、循环语句(for、while、do-while),它们是构成程序逻辑的关键。 - **函数**: 理解函数定义、声明、调用和参数传递机制,是组织代码的重要手段。 - **数组和指针**: 学习如何使用数组存储数据,以及指针的声明、初始化和运算,这是C++中的高级话题。 ### 2. 林锐博士的《高质量的C++编程指南》 林锐博士的著作《高质量的C++编程指南》是C++学习者的重要参考资料。这本书主要覆盖了以下内容: - **编码规范**: 包括命名规则、注释习惯、文件结构等,这些都是编写可读性和可维护性代码的基础。 - **设计模式**: 在C++中合理使用设计模式可以提高代码的复用性和可维护性。 - **性能优化**: 学习如何编写效率更高、资源占用更少的代码。 - **错误处理**: 包括异常处理和错误检测机制,这对于提高程序的鲁棒性至关重要。 - **资源管理**: 学习如何在C++中管理资源,避免内存泄漏等常见错误。 ### 3. 答题与测试 - **C++C试题**: 通过阅读并回答相关试题,可以帮助读者巩固所学知识,并且学会如何将理论应用到实际问题中。 - **答案与评分标准**: 提供答案和评分标准,使读者能够自我评估学习成果,了解哪些方面需要进一步加强。 ### 4. 心得体会与实践 - **实践**: 理论知识需要通过大量编程实践来加深理解,动手编写代码,解决问题,是学习编程的重要方式。 - **阅读源码**: 阅读其他人的高质量代码,可以学习到许多编程技巧和最佳实践。 - **学习社区**: 参与C++相关社区,比如Stack Overflow、C++论坛等,可以帮助解答疑惑,交流心得。 ### 5. 拓展知识 - **C++标准库**: 学习C++标准模板库(STL),包括vector、map、list、algorithm等常用组件,是构建复杂数据结构和算法的基础。 - **面向对象编程**: C++是一种面向对象的编程语言,理解类、对象、继承、多态等概念对于写出优雅的C++代码至关重要。 - **跨平台编程**: 了解不同操作系统(如Windows、Linux)上的C++编程差异,学习如何编写跨平台的应用程序。 - **现代C++特性**: 学习C++11、C++14、C++17甚至C++20中的新特性,如智能指针、lambda表达式、自动类型推导等,可以提高开发效率和代码质量。 ### 总结 学习C++是一个系统工程,需要从基础语法开始,逐步深入到设计思想、性能优化、跨平台编程等领域。通过不断的学习和实践,初学者可以逐步成长为一个具有高代码质量意识的C++程序员。而通过阅读经典指南书籍,参与测试与评估,以及反思和总结实践经验,读者将更加扎实地掌握C++编程技术。此外,还需注意编程社区的交流和现代C++的发展趋势,这些都对于保持编程技能的前沿性和实用性是必不可少的。
recommend-type

线性代数方程组求解全攻略:直接法vs迭代法,一文搞懂

# 摘要 线性代数方程组求解是数学和工程领域中的基础而重要的问题。本文首先介绍了线性方程组求解的基础知识,然后详细阐述了直接法和迭代法两种主要的求解策略。直接法包括高斯消元法和LU分解方法,本文探讨了其理论基础、实践应用以及算法优化。迭代法则聚焦于雅可比和高斯-赛德尔方法,分析了其原理、实践应用和收敛性。通过比较分析,本文讨论了两种方法在
recommend-type

怎么下载mysql8.0.33版本

<think>我们正在处理用户关于下载并安装MySQL8.0.33版本的问题。根据引用[1]和引用[2],我们可以提供两种方法:一种是使用RPM包在CentOS上安装,另一种是使用ZIP包在Windows上安装。另外,引用[3]提到了安装过程中需要注意Python环境,但根据MySQL官方文档,Python并不是必须的,除非使用某些特定功能(如MySQLShell的Python模式)。因此,我们主要关注下载和安装步骤。用户没有明确操作系统,因此我们将分别介绍Windows和CentOS(Linux)下的安装方法。步骤概述:1.下载MySQL8.0.332.安装(根据系统不同步骤不同)3.初始化
recommend-type

C#学籍管理系统开发完成,信管专业的福音

标题中提到的“C#设计的学籍系统”涉及到几个重要的知识点。首先是“C#”,这是微软公司开发的一种面向对象的、运行在.NET框架上的高级编程语言。C#语言广泛用于开发Windows应用程序、游戏开发、分布式组件和客户端服务器应用程序等。在该标题中,它被用于构建一个学籍系统,这意味着系统的核心逻辑和功能是通过C#语言实现的。 其次是“学籍系统”,这通常是指用于管理学生个人信息、成绩、课程和学籍状态等数据的软件应用系统。学籍系统能够帮助教育机构高效地维护和更新学生档案,实现学生信息的电子化管理。它通常包括学生信息管理、成绩管理、课程安排、毕业资格审核等功能。 从描述中我们可以得知,这个学籍系统是“专门为信管打造”的。这里的“信管”很可能是对“信息管理”或者“信息系统管理”专业的简称。信息管理是一个跨学科领域,涉及信息技术在收集、存储、保护、处理、传输和安全地管理和开发信息资源方面的应用。这个系统可能是针对该专业学生的实际需求来定制开发的,包括一些特有的功能或者界面设计,以便更好地满足专业学习和实践操作的需要。 描述中还提到“请大家积极下载”,这可能意味着该学籍系统是一个开源项目,或者至少是一个允许公众访问的软件资源。由于开发者提出了“如有不足之处请大家多多包涵”,我们可以推断这个系统可能还处于测试或早期使用阶段,因此可能还不是完全成熟的版本,或者可能需要使用者反馈意见以便进行后续改进。 标签中的“C#的啊,大家注意,嘻嘻哈哈”表达了开发者轻松的态度和对C#语言的特定提及。这个标签可能是在一个非正式的交流环境中发布的,所以用词带有一定的随意性。尽管如此,它还是说明了该学籍系统是基于C#语言开发的,并提醒用户对这一点给予关注。 关于压缩包子文件的文件名称列表中,“学生成绩管理系统”直接指出了这个软件系统的主要功能之一,即管理学生的成绩。这通常包括录入成绩、查询成绩、统计分析成绩、成绩报告等功能。一个优秀的学生成绩管理系统可以让教师和学校管理人员更加高效地处理学生的成绩数据,同时也能让学生本人了解自己的学业进展。 综合以上信息,我们可以提炼出以下知识点: 1. C#语言:是一种面向对象的编程语言,适用于.NET框架,用于开发各种类型的应用程序。 2. 学籍系统:是管理学生基本信息、成绩、课程和学籍状态的软件应用系统,目的是实现学生信息的电子化管理。 3. 信息系统管理专业:该系统可能是针对信息系统管理专业的学生或教师的需求设计和开发的。 4. 开源项目或公众访问资源:鼓励用户下载使用,并接受用户的反馈和建议。 5. 学生成绩管理系统:是学籍系统的一个重要组成部分,专注于管理学生的成绩数据。 在开发一个C#设计的学籍系统时,开发者需要考虑的因素很多,比如系统的用户界面设计、数据库设计、数据安全、网络通信等。此外,系统还应该有良好的扩展性和易用性,以便未来可以根据用户反馈和新需求进行升级和优化。
recommend-type

特征值与特征向量速成课:理论精讲与7种高效算法

# 摘要 本文系统地介绍了特征值与特征向量的基本概念、理论深度剖析、高效特征值算法以及这些数学工具在实际问题中的应用。首先从定义与性质出发,详细解释了特征值与特征向量的
recommend-type

嵌入式Linux读写硬盘数据错误CF2 13473a 13433a 1342b2 13473a解决方案

<think>嗯,用户这次提出的问题很专业,是关于嵌入式Linux系统硬盘读写错误的解决方案。从错误代码CF2、13473a等来看,这应该是特定硬盘控制器或文件系统的错误码,需要结合硬件和系统环境分析。用户可能正在调试一个嵌入式设备,遇到了硬盘读写不稳定问题。这类错误通常涉及硬件连接、驱动兼容性、文件系统损坏等多个层面。用户提供的错误码格式看起来像十六进制值,可能是控制器寄存器状态或SCSI检测码。考虑到嵌入式系统的特殊性,需要从底层开始排查。首先应该检查物理连接,因为振动或接触不良在嵌入式环境中很常见。然后是驱动兼容性,嵌入式Linux常使用定制内核,驱动版本匹配很重要。另外,用户没有说明文