rospy.init_node()如何在python3.11使用

时间: 2025-07-08 09:20:51 浏览: 2
<think>好的,我现在需要帮助用户解决在Python 3.11中使用rospy.init_node()的问题,特别是兼容性配置方面。首先,我得回忆一下ROS和Python版本之间的兼容性问题。ROS主要支持的是Python 2.7,但用户可能在使用ROS Noetic,它支持Python 3。不过Python 3.11相对较新,可能有些库还没完全适配。 用户提到rospy.init_node()的使用方法,这通常用于初始化ROS节点。首先需要确认用户是否正确安装了ROS和相关的Python包,比如rospy。如果用户使用的是较新的Python版本,可能会有模块不兼容的情况,比如语法差异或依赖库的问题。 接下来,我应该检查用户的环境配置。例如,是否通过正确的源安装ROS,是否设置了环境变量,比如source /opt/ros/<distro>/setup.bash。然后,用户可能需要确认Python版本是否为3.11,并且是否安装了对应版本的rospy。这里可能需要使用虚拟环境或者调整系统Python路径。 另外,用户可能需要处理依赖项的问题。比如,某些ROS包可能依赖旧的Python库,需要检查是否有兼容的版本可用。如果遇到导入错误,可能需要手动编译安装支持Python 3.11的rospy,或者寻找第三方库的补丁。 在代码示例方面,提供一个基本的init_node使用示例是必要的,同时提醒用户注意节点名称的唯一性和参数的正确性。另外,异常处理也很重要,比如捕获ROSInitException,帮助用户更好地调试。 兼容性配置部分,可能需要建议用户使用Docker来隔离环境,或者使用conda管理不同的Python版本。如果用户遇到特定错误,比如模块未找到,可能需要调整PYTHONPATH环境变量,确保ROS的Python包在路径中。 最后,生成相关问题时,需要涵盖常见问题,比如环境配置、虚拟环境使用、版本冲突解决和错误处理。这些都能帮助用户进一步排查和解决问题。</think>在Python 3.11中使用`rospy.init_node()`需要注意以下关键步骤和兼容性配置: ### 一、基础用法 ```python import rospy rospy.init_node('my_python_node', anonymous=True) # 节点名称须唯一,anonymous=True可避免重复节点名冲突 ``` ### 二、兼容性配置 1. **ROS版本验证** - 仅ROS Noetic(最新LTS版本)官方支持Python 3 - 确认安装命令: ```bash sudo apt-get install ros-noetic-ros-base ``` 2. **Python环境配置** ```bash # 设置系统默认Python软链接(需root权限) sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 # 验证ROS Python包路径 echo $PYTHONPATH | grep '/opt/ros/noetic/lib/python3/dist-packages' ``` 3. **依赖项处理** ```bash # 安装Python3.11开发依赖 sudo apt-get install python3.11-dev # 重建ROS包的Python绑定 catkin_make -DPYTHON_EXECUTABLE=/usr/bin/python3.11 ``` ### 三、常见问题解决 1. **导入错误处理** ```python try: import rospy except ImportError: import sys sys.path.append('/opt/ros/noetic/lib/python3/dist-packages') # 手动添加ROS路径[^3] ``` 2. **节点初始化异常** ```python try: rospy.init_node('node_name') except rospy.ROSInitException as e: print(f"初始化失败:{str(e)}") # 检查roscore是否运行:rosnode list ``` ### 四、虚拟环境配置 ```bash # 创建Python3.11虚拟环境 python3.11 -m venv ~/ros_venv source ~/ros_venv/bin/activate # 在虚拟环境中链接ROS包 pip install rospkg catkin_pkg export PYTHONPATH=$PYTHONPATH:/opt/ros/noetic/lib/python3/dist-packages ``` ### 五、版本冲突排查 当出现`AttributeError: module 'rospy' has no attribute 'init_node'`时: 1. 检查ROS安装完整性:`dpkg -l | grep ros-noetic` 2. 验证Python解释器绑定:`python3 -c "import rospy; print(rospy.__file__)"` 3. 重建符号链接:`sudo ln -sf /opt/ros/noetic/lib/python3/dist-packages /usr/local/lib/python3.11/dist-packages/ros`
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/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/utils/generic.py:441: FutureWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. _torch_pytree._register_pytree_node( /home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/utils/generic.py:309: FutureWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. _torch_pytree._register_pytree_node( hornetq Traceback (most recent call last): File "/home/ls_lunwen/KEPT-main/Kept/trace/main/./train_trace_rapt.py", line 28, in <module> main() File "/home/ls_lunwen/KEPT-main/Kept/trace/main/./train_trace_rapt.py", line 19, in main preprocess_dataset(args.data_dir,args.project) File "/home/ls_lunwen/KEPT-main/Kept/trace/main/../../common/data_processing.py", line 314, in preprocess_dataset process_project(base_dir,project) File "/home/ls_lunwen/KEPT-main/Kept/trace/main/../../common/data_processing.py", line 301, in process_project bug_reports_pd, links_pd, file_diffs_pd = process_data(issue_path, commit_path,data_type) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/KEPT-main/Kept/trace/main/../../common/data_processing.py", line 205, in process_data issue_pd = pd.read_csv(issue_path) ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 912, in read_csv return _read(filepath_or_buffer, kwds) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 577, in _read parser = TextFileReader(filepath_or_buffer, **kwds) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1407, in __init__ self._engine = self._make_engine(f, self.engine) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1661, in _make_engine self.handles = get_handle( ^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/pandas/io/common.py", line 859, in get_handle handle = open( ^^^^^ FileNotFoundError: [Errno 2] No such file or directory: '/home/yueli/HuYworks1/kept/input_data/raw/issue/hornetq.csv' /home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/utils/generic.py:441: FutureWarning: torch.utils._pytree._register_pytree_node is deprecated. 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Please use torch.utils._pytree.register_pytree_node instead. _torch_pytree._register_pytree_node( eval parameters %s Namespace(project='hornetq', code_kg_mode='inner', data_dir='/home/yueli/HuYworks1/kept/input_data/', model_path='./output/hornetq', no_cuda=False, test_num=None, output_dir='./result/', overwrite=False, code_bert='../unixCoder', chunk_query_num=-1, per_gpu_eval_batch_size=32, code_kg_location='/home/yueli/HuYworks1/kept/input_data/hornetq/', text_kg_location='/home/yueli/HuYworks1/kept/input_data/hornetq/', length_limit=256, tqdm_interval=300.0, data_name='hornetq') Traceback (most recent call last): File "/home/ls_lunwen/KEPT-main/Kept/trace/main/eval_trace_rapt.py", line 25, in <module> model = Rapt(BertConfig(), args.code_bert) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/KEPT-main/Kept/trace/main/../../common/models.py", line 84, in __init__ self.ctokneizer = AutoTokenizer.from_pretrained(cbert_model, local_files_only=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 752, in from_pretrained config = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py", line 1082, in from_pretrained config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/configuration_utils.py", line 644, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/configuration_utils.py", line 699, in _get_config_dict resolved_config_file = cached_file( ^^^^^^^^^^^^ File "/home/ls_lunwen/anaconda3/envs/llm/lib/python3.11/site-packages/transformers/utils/hub.py", line 360, in cached_file raise EnvironmentError( OSError: ../unixCoder does not appear to have a file named config.json. 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执行boltz2报错如下root@cn01:/public/home/lihui/t1# boltz predict ./t1.yaml --cache /public/software/bolz2/cache/.boltz/ /public/software/bolz2/lib/python3.11/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed). from pandas.core import ( Checking input data. Processing 1 inputs with 1 threads. 0%| | 0/1 [00:00<?, ?it/s]Traceback (most recent call last): File "/public/software/bolz2/lib/python3.11/site-packages/boltz/main.py", line 499, in process_input target = parse_yaml(path, ccd, mol_dir, boltz2) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/boltz/data/parse/yaml.py", line 65, in parse_yaml data = yaml.safe_load(file) ^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/__init__.py", line 125, in safe_load return load(stream, SafeLoader) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/__init__.py", line 81, in load return loader.get_single_data() ^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/constructor.py", line 49, in get_single_data node = self.get_single_node() ^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/composer.py", line 36, in get_single_node document = self.compose_document() ^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/composer.py", line 55, in compose_document node = self.compose_node(None, None) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/composer.py", line 84, in compose_node node = self.compose_mapping_node(anchor) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/composer.py", line 127, in compose_mapping_node while not self.check_event(MappingEndEvent): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/parser.py", line 98, in check_event self.current_event = self.state() ^^^^^^^^^^^^ File "/public/software/bolz2/lib/python3.11/site-packages/yaml/parser.py", line 438, in parse_block_mapping_key raise ParserError("while parsing a block mapping", self.marks[-1], yaml.parser.ParserError: while parsing a block mapping in "t1.yaml", line 1, column 1 expected <block end>, but found '<block mapping start>' in "t1.yaml", line 5, column 2 Failed to process t1.yaml. Skipping. Error: while parsing a block mapping in "t1.yaml", line 1, column 1 expected <block end>, but found '<block mapping start>' in "t1.yaml", line 5, column 2. 100%|███████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 20.13it/s] Using bfloat16 Automatic Mixed Precision (AMP) GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores HPU available: False, using: 0 HPUs /public/software/bolz2/lib/python3.11/site-packages/pytorch_lightning/trainer/connectors/logger_connector/logger_connector.py:76: Starting from v1.9.0, tensorboardX has been removed as a dependency of the pytorch_lightning package, due to potential conflicts with other packages in the ML ecosystem. For this reason, logger=True will use CSVLogger as the default logger, unless the tensorboard or tensorboardX packages are found. Please pip install lightning[extra] or one of them to enable TensorBoard support by default 请问是什么错误,怎么修改

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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.

robot@wp:~$ ros2 run turtlesim turtlesim_node Traceback (most recent call last): File "/opt/ros/humble/bin/ros2", line 33, in <module> sys.exit(load_entry_point('ros2cli==0.18.12', 'console_scripts', 'ros2')()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/ros/humble/bin/ros2", line 25, in importlib_load_entry_point return next(matches).load() ^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/importlib/metadata/__init__.py", line 202, in load module = import_module(match.group('module')) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "<frozen importlib._bootstrap>", line 1206, in _gcd_import File "<frozen importlib._bootstrap>", line 1178, in _find_and_load File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 690, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 940, in exec_module File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed File "/opt/ros/humble/lib/python3.10/site-packages/ros2cli/cli.py", line 22, in <module> from rclpy.executors import ExternalShutdownException File "/opt/ros/humble/local/lib/python3.10/dist-packages/rclpy/__init__.py", line 49, in <module> from rclpy.signals import install_signal_handlers File "/opt/ros/humble/local/lib/python3.10/dist-packages/rclpy/signals.py", line 15, in <module> from rclpy.exceptions import InvalidHandle File "/opt/ros/humble/local/lib/python3.10/dist-packages/rclpy/exceptions.py", line 15, in <module> from rclpy.impl.implementation_singleton import rclpy_implementation as _rclpy File "/opt/ros/humble/local/lib/python3.10/dist-packages/rclpy/impl/implementation_singleton.py", line 32, in <m

(zhuhui) (base) [root@ds1 zhuhui]# ray start --head --port=6379 Usage stats collection is enabled. To disable this, add --disable-usage-stats to the command that starts the cluster, or run the following command: ray disable-usage-stats before starting the cluster. See https://docs.ray.io/en/master/cluster/usage-stats.html for more details. Local node IP: 119.36.5.29 Traceback (most recent call last): File "/home/zhuhui/.venv/bin/ray", line 8, in <module> sys.exit(main()) ^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/ray/scripts/scripts.py", line 2690, in main return cli() ^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/click/core.py", line 1161, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/click/core.py", line 1082, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/click/core.py", line 1697, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/click/core.py", line 1443, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/click/core.py", line 788, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/ray/autoscaler/_private/cli_logger.py", line 823, in wrapper return f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/ray/scripts/scripts.py", line 887, in start node = ray._private.node.Node( ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/zhuhui/.venv/lib/python3.12/site-packages/ray/_private/node.py", line 336, in __init__ self.start_head_

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一、目的1. 加速训练过程2. 适应大规模数据3. 资源利用率高4. 提升训练速度5. 增大系统容量6. 提高系统可用性7. 加速模型迭代二、 LLaMA-Factory1.安装2. LLaMA-Factory 校验三、 训练引擎1.DDP2. DeepSpeed3.FSDP四、WebUI五. 参数配置1. 模型2. 数据3. 训练参数4. 多卡参数1. ZeRO-12. ZeRO-23. ZeRO-3六、训练七、推理八、XTuner一、目的分布式训练是一种在多个计算节点上共同完成机器学习模型训练任务的过程,它可以充分利用多台计算机的资源,提高训练效率和模型准确性。分布式训练的主要优势包括:1. 加速训练过程通过并行计算,分布式训练大幅缩短了训练时间,提高了训练效率。提高模型准确性:利用更多的计算资源和数据样本进行训练,减少了过拟合风险,提高了模型的泛化能力和准确性。2. 适应大规模数据分布式训练能够处理传统单机训练难以应对的大规模数据集。3. 资源利用率高有效利用了计算资源,避免了单机训练时的资源闲置和浪费。4. 提升训练速度通过并行计算,分布式训练能够显著缩短模型训练的时间,尤其是在处理大规模数据集和复杂模型时效果更为明显。5. 增大系统容量随着业务量的增长,单机性能已无法满足需求。分布式训练通过多台计算设备的协同工作,能够应对更大规模的应用场景。6. 提高系统可用性分布式架构能够消除单点故障,提高系统的整体可用性。即使某个计算设备出现故障,也不会影响整个训练任务的进行。7. 加速模型迭代在快速迭代的机器学习项目中,分布式训练能够更快地完成模型训练,从而加速模型迭代和优化过程。总的来说,分布式训练在深度学习领域提高训练效率和加快模型收敛的重要手段 。二、 LLaMA-Factory1.安装在安装 LLaMA-Factory 之前,请确保您安装了下列依赖:运行以下指令以安装 LLaMA-Factory 及其依赖:git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.gitcd LLaMA-Factorypip install -e ".[torch,metrics]"123如果出现环境冲突,请尝试使用 pip install --no-deps -e . 解决2. LLaMA-Factory 校验完成安装后,可以通过使用 llamafactory-cli version 来快速校验安装是否成功如果看到类似下面的界面,就说明安装成功了。 Successfully uninstalled requests-2.31.0 Attempting uninstall: anyio Found existing installation: anyio 4.4.0 Uninstalling anyio-4.4.0: Successfully uninstalled anyio-4.4.0Successfully installed accelerate-1.2.1 aiofiles-23.2.1 aiohappyeyeballs-2.4.6 aiohttp-3.11.12 aiosignal-1.3.2 annotated-types-0.7.0 anyio-4.8.0 audioread-3.0.1 av-14.1.0 click-8.1.8 datasets-3.2.0 dill-0.3.8 docstring-parser-0.16 einops-0.8.1 fastapi-0.115.8 ffmpy-0.5.0 fire-0.7.0 frozenlist-1.5.0 gradio-5.12.0 gradio-client-1.5.4 huggingface-hub-0.28.1 jieba-0.42.1 joblib-1.4.2 lazy-loader-0.4 librosa-0.10.2.post1 llamafactory-0.9.2.dev0 llvmlite-0.44.0 markdown-it-py-3.0.0 mdurl-0.1.2 msgpack-1.1.0 multidict-6.1.0 multiprocess-0.70.16 nltk-3.9.1 numba-0.61.0 orjson-3.10.15 pandas-2.2.3 peft-0.12.0 pooch-1.8.2 propcache-0.2.1 pyarrow-19.0.0 pydantic-2.10.6 pydantic-core-2.27.2 pydub-0.25.1 python-multipart-0.0.20 pytz-2025.1 regex-2024.11.6 requests-2.32.3 rich-13.9.4 rouge-chinese-1.0.3 ruff-0.9.6 safehttpx-0.1.6 safetensors-0.5.2 scikit-learn-1.6.1 scipy-1.15.1 semantic-version-2.10.0 sentencepiece-0.2.0 shellingham-1.5.4 shtab-1.7.1 soundfile-0.13.1 soxr-0.5.0.post1 sse-starlette-2.2.1 starlette-0.45.3 termcolor-2.5.0 threadpoolctl-3.5.0 tiktoken-0.9.0 tokenizers-0.21.0 tomlkit-0.13.2 tqdm-4.67.1 transformers-4.48.3 trl-0.9.6 typer-0.15.1 typing-extensions-4.12.2 tyro-0.8.14 tzdata-2025.1 uvicorn-0.34.0 websockets-14.2 xxhash-3.5.0 yarl-1.18.3WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venvroot@autodl-container-c2d74383d9-db8bb7c4:~/autodl-tmp/LLaMA-Factory# llamafactory-cli version----------------------------------------------------------| Welcome to LLaMA Factory, version 0.9.2.dev0 || || Project page: https://github.com/hiyouga/LLaMA-Factory |----------------------------------------------------------root@autodl-container-c2d74383d9-db8bb7c4:~/autodl-tmp/LLaMA-Factory# 1234567891011121314三、 训练引擎LLaMA-Factory 支持单机多卡和多机多卡分布式训练。同时也支持 DDP , DeepSpeed 和 FSDP 三种分布式引擎。1.DDPDDP (DistributedDataParallel) 通过实现模型并行和数据并行实现训练加速。 使用 DDP 的程序需要生成多个进程并且为每个进程创建一个 DDP 实例,他们之间通过 torch.distributed 库同步。2. DeepSpeedDeepSpeed 是微软开发的分布式训练引擎,并提供ZeRO(Zero Redundancy Optimizer)、offload、Sparse Attention、1 bit Adam、流水线并行等优化技术。 您可以根据任务需求与设备选择使用。3.FSDP通过全切片数据并行技术(Fully Sharded Data Parallel)来处理更多更大的模型。在 DDP 中,每张 GPU 都各自保留了一份完整的模型参数和优化器参数。而 FSDP 切分了模型参数、梯度与优化器参数,使得每张 GPU 只保留这些参数的一部分。 除了并行技术之外,FSDP 还支持将模型参数卸载至CPU,从而进一步降低显存需求。由于deepseek分布式训练加速,采用混合精度(fp16/fp32)和ZeRO优化,减少显存占用,从而加速训练。所以本文采用DeepSpeed 是训练引擎。四、WebUILLaMA-Factory 支持通过 WebUI 零代码微调大语言模型。 在完成 安装 后,您可以通过以下指令进入 WebUI:llamafactory-cli webui1WebUI 主要分为四个界面:训练、评估与预测、对话、导出。当运行上面命令后,打开如下界面在开始训练模型之前,需要指定的参数有:模型名称及路径训练阶段微调方法训练数据集学习率、训练轮数等训练参数微调参数等其他参数输出目录及配置路径

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