[ 3%] Generating dynamic reconfigure files from cfg/Params_PID.cfg: /home/ubuntu/new_workspace/devel/include/simple_follower/Params_PIDConfig.h /home/ubuntu/new_workspace/devel/lib/python2.7/dist-packages/simple_follower/cfg/Params_PIDConfig.py Generating reconfiguration files for Params_PID in simple_follower Wrote header file in /home/ubuntu/new_workspace/devel/include/simple_follower/Params_PIDConfig.h In file included from /home/ubuntu/new_workspace/src/lsx10/lslidar_x10_driver/src/input.cc:18:0: /home/ubuntu/new_workspace/src/lsx10/lslidar_x10_driver/include/lslidar_x10_driver/input.h:35:10: fatal error: lslidar_x10_msgs/LslidarX10Packet.h: No such file or directory #include <lslidar_x10_msgs/LslidarX10Packet.h> ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. lsx10/lslidar_x10_driver/CMakeFiles/lslidar_input_x10.dir/build.make:62: recipe for target 'lsx10/lslidar_x10_driver/CMakeFiles/lslidar_input_x10.dir/src/input.cc.o' failed make[2]: *** [lsx10/lslidar_x10_driver/CMakeFiles/lslidar_input_x10.dir/src/input.cc.o] Error 1 CMakeFiles/Makefile2:10548: recipe for target 'lsx10/lslidar_x10_driver/CMakeFiles/lslidar_input_x10.dir/all' failed make[1]: *** [lsx10/lslidar_x10_driver/CMakeFiles/lslidar_input_x10.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs.... Generating reconfiguration files for params in rplidar_ros Wrote header file in /home/ubuntu/new_workspace/devel/include/rplidar_ros/paramsConfig.h [ 3%] Built target simple_follower_gencfg [ 3%] Built target rplidar_ros_gencfg [ 3%] Linking CXX executable /home/ubuntu/new_workspace/devel/lib/rplidar_ros/rplidarNodeClient [ 3%] Built target rplidarNodeClient Makefile:140: recipe for target 'all' failed make: *** [all] Error 2 Invoking "make -j4 -l4" failed

时间: 2023-07-29 11:11:25 浏览: 258
这段编译日志也出现了编译错误，错误提示为 "fatal error: lslidar_x10_msgs/LslidarX10Packet.h: No such file or directory"。这个错误提示表明编译器找不到 LslidarX10Packet.h 头文件。这有可能是因为 LslidarX10Packet.h 头文件没有正确包含进来或者路径设置有误导致的。 要解决这个问题，需要检查代码中是否正确包含了 LslidarX10Packet.h 头文件，并且路径是否正确。如果 LslidarX10Packet.h 头文件确实没有包含进来，可以在代码中添加包含语句，例如： ``` #include "lslidar_x10_msgs/LslidarX10Packet.h" ``` 另外，也需要确保 LslidarX10Packet.h 头文件所在的路径已经正确设置。可以在 CMakeLists.txt 文件中添加如下的语句： ``` include_directories(${catkin_INCLUDE_DIRS}) ``` 其中 ${catkin_INCLUDE_DIRS} 是 ROS 中自动设置的包含路径，可以确保头文件能够被正确找到。如果还是编译失败，可以尝试在命令行中使用 "roscd lslidar_x10_msgs" 命令进入到 lslidar_x10_msgs 包所在的路径，然后使用 "pwd" 命令获取当前路径，并将其添加到 CMakeLists.txt 文件中的 include_directories() 函数中。这样，重新编译代码应该就能够成功了。
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dxinl@dxinl-NUC13VYKi5:~/orb_slam2/semantic_-mapping_on_-orbslam$ cd /home/dxinl/orb_slam2/semantic_-mapping_on_-orbslam && ./build.sh Configuring and building Thirdparty/DBoW2 ... mkdir: 无法创建目录 “build”: 文件已存在 -- Configuring done -- Generating done -- Build files have been written to: /home/dxinl/orb_slam2/semantic_-mapping_on_-orbslam/Thirdparty/DBoW2/build [100%] Built target DBoW2 Configuring and building Thirdparty/g2o ... mkdir: 无法创建目录 “build”: 文件已存在 -- BUILD TYPE:Release -- Compiling on Unix -- Configuring done -- Generating done -- Build files have been written to: /home/dxinl/orb_slam2/semantic_-mapping_on_-orbslam/Thirdparty/g2o/build [100%] Built target g2o Uncompress vocabulary ... Configuring and building ORB_SLAM2 ... mkdir: 无法创建目录 “build”: 文件已存在 Build type: Release -- Eigen found (include: /usr/include/eigen3, version: 3.3.7) -- OpenNI found (version: 1.5.4.0, include: /usr/include/ni, lib: /usr/lib/libOpenNI.so) -- OpenNI2 found (version: 2.2.0.33, include: /usr/include/openni2, lib: /usr/lib/libOpenNI2.so) ** WARNING ** io features related to pcap will be disabled ** WARNING ** io features related to png will be disabled -- OpenNI found (version: 1.5.4.0, include: /usr/include/ni, lib: /usr/lib/libOpenNI.so) -- OpenNI2 found (version: 2.2.0.33, include: /usr/include/openni2, lib: /usr/lib/libOpenNI2.so) -- looking for PCL_COMMON -- looking for PCL_OCTREE -- looking for PCL_IO -- looking for PCL_KDTREE -- looking for PCL_GEOMETRY -- looking for PCL_SEARCH -- looking for PCL_VISUALIZATION -- looking for PCL_SAMPLE_CONSENSUS -- looking for PCL_FILTERS -- Eigen3 found at: /usr/include/eigen3 -- Eigen3_DIR set to: /usr/include/eigen3 CMake Error at CMakeLists.txt:53 (find_package): Found package configuration file: /usr/local/lib/cmake/Pangolin/PangolinConfig.cmake but it set Pangolin_FOUND to FALSE so package "Pangolin" is considered to be NOT FOUND. Reason given by package: Pangolin could not be found because dependency Eigen3 could not

引用2提到了链接错误，无法找到-lEigen3::Eigen，这可能与CMake配置有关。引用3建议修改CMakeLists.txt，在find_package时添加NO_MODULE参数。 接下来，我需要考虑常见的解决方案。首先检查Eigen3是否正确安装，...

y536@zy536-virtual-machine:~/catkin_ws$ catkin_make Base path: /home/zy536/catkin_ws Source space: /home/zy536/catkin_ws/src Build space: /home/zy536/catkin_ws/build Devel space: /home/zy536/catkin_ws/devel Install space: /home/zy536/catkin_ws/install #### #### Running command: "cmake /home/zy536/catkin_ws/src -DCATKIN_DEVEL_PREFIX=/home/zy536/catkin_ws/devel -DCMAKE_INSTALL_PREFIX=/home/zy536/catkin_ws/install -G Unix Makefiles" in "/home/zy536/catkin_ws/build" #### -- Using CATKIN_DEVEL_PREFIX: /home/zy536/catkin_ws/devel -- Using CMAKE_PREFIX_PATH: /home/zy536/catkin_ws/devel;/opt/ros/noetic -- This workspace overlays: /home/zy536/catkin_ws/devel;/opt/ros/noetic -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.8.10", minimum required is "3") -- Using PYTHON_EXECUTABLE: /usr/bin/python3 -- Using Debian Python package layout -- Using empy: /usr/lib/python3/dist-packages/em.py -- Using CATKIN_ENABLE_TESTING: ON -- Call enable_testing() -- Using CATKIN_TEST_RESULTS_DIR: /home/zy536/catkin_ws/build/test_results -- Forcing gtest/gmock from source, though one was otherwise available. -- Found gtest sources under '/usr/src/googletest': gtests will be built -- Found gmock sources under '/usr/src/googletest': gmock will be built -- Found PythonInterp: /usr/bin/python3 (found version "3.8.10") -- Using Python nosetests: /usr/bin/nosetests3 -- catkin 0.8.10 -- BUILD_SHARED_LIBS is on -- BUILD_SHARED_LIBS is on -- Using CATKIN_WHITELIST_PACKAGES: your_package -- Configuring done -- Generating done -- Build files have been written to: /home/zy536/catkin_ws/build #### #### Running command: "make -j4 -l4" in "/home/zy536/catkin_ws/build" ####

在Ubuntu 20.04 ROS Noetic环境中执行catkin_make时，若出现ImportError: No module named 'catkin_pkg'错误，通常是因为缺少Python依赖或环境配置问题。ROS Noetic基于Python3，而旧版本ROS可能依赖Python2，需...

Traceback (most recent call last): File "tools/px_generate_uorb_topic_files.py", line 530, in <module> generate_idx, f, args.temporarydir, args.package, args.templatedir, INCL_DEFAULT) File "tools/px_generate_uorb_topic_files.py", line 177, in generate_output_from_file return generate_by_template(output_file, template_file, em_globals) File "tools/px_generate_uorb_topic_files.py", line 346, in generate_by_template em.RAW_OPT: True, em.BUFFERED_OPT: True}) AttributeError: module 'em' has no attribute 'RAW_OPT' [11/728] Generating parameters.xml FAILED: external/Stamp/sitl_gazebo/sitl_gazebo-configure /home/ubuntu/PX4_Firmware/build/px4_sitl_default/external/Stamp/sitl_gazebo/sitl_gazebo-configure cd /home/ubuntu/PX4_Firmware/build/px4_sitl_default/build_gazebo && /usr/bin/cmake -DCMAKE_INSTALL_PREFIX=/usr/local -DSEND_VISION_ESTIMATION_DATA=ON -GNinja /home/ubuntu/PX4_Firmware/Tools/sitl_gazebo && /usr/bin/cmake -E touch /home/ubuntu/PX4_Firmware/build/px4_sitl_default/external/Stamp/sitl_gazebo/sitl_gazebo-configure ninja: build stopped: subcommand failed. Makefile:198: recipe for target 'px4_sitl_default' failed make: *** [px4_sitl_default] Error 1

好的，我现在需要解决用户遇到的Python脚本错误：module 'em' has no attribute 'RAW_OPT'，这个错误出现在PX4固件的px_generate_uorb_topic_files.py文件中。首先，我得弄清楚这个错误的根源在哪里。 首先，用户...

/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.

#### 步骤3：验证环境 python # 测试导入是否成功 python -c "import sentencepiece; print(sentencepiece.__version__)" #### 步骤4：清除缓存（可选） 删除Transformers缓存目录： bash rm -rf ~/....

File "tools/px_generate_uorb_topic_files.py", line 545, in <module> generate_idx, f, args.temporarydir, args.package, args.templatedir, INCL_DEFAULT) File "tools/px_generate_uorb_topic_files.py", line 184, in generate_output_from_file return generate_by_template(output_file, template_file, em_globals) File "tools/px_generate_uorb_topic_files.py", line 354, in generate_by_template em.RAW_OPT: True, em.BUFFERED_OPT: True}) AttributeError: module 'em' has no attribute 'RAW_OPT' [18/865] Generating serial_params.c ninja: build stopped: subcommand failed. Makefile:230: recipe for target 'px4_sitl_default' failed make: *** [px4_sitl_default] Error 1

在PX4飞控系统的uORB主题文件生成工具tools/px_generate_uorb_topic_files.py中，出现AttributeError: module 'em' has no attribute 'RAW_OPT'错误，通常由以下原因导致： 1. **版本不匹配**：新版本em模块...

root@wlcb-dyg:/home/wlcb-dyg# ollama serve Couldn't find '/root/.ollama/id_ed25519'. Generating new private key. Your new public key is: ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAID4ovJFMvZAtq71NIhecQfJmdE0w16e3jZMylgVJ2lq/ 2025/03/13 09:15:50 routes.go:1225: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:2048 OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_INTEL_GPU:false OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/root/.ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_SCHED_SPREAD:false ROCR_VISIBLE_DEVICES: http_proxy: https_proxy: no_proxy:]" time=2025-03-13T09:15:50.606+08:00 level=INFO source=images.go:432 msg="total blobs: 0" time=2025-03-13T09:15:50.606+08:00 level=INFO source=images.go:439 msg="total unused blobs removed: 0" time=2025-03-13T09:15:50.606+08:00 level=INFO source=routes.go:1292 msg="Listening on 127.0.0.1:11434 (version 0.6.0)" time=2025-03-13T09:15:50.606+08:00 level=INFO source=gpu.go:217 msg="looking for compatible GPUs" time=2025-03-13T09:15:51.523+08:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-91af1d5b-5fed-e3b0-93e9-2112bebf3262 library=cuda variant=v12 compute=7.5 driver=12.2 name="Tesla T4" total="14.6 GiB" available="14.5 GiB" time=2025-03-13T09:15:51.523+08:00 level=INFO source=types.go:130 msg="inference compute" id=GPU-6cc43ad6-f63f-84ca-666d-

根据引用[1]、[2]、[3]、[4]中的信息，我需要整理出以下几个部分： 1. **服务启动过程**：用户提到引用[4]中Ollama通过HTTP请求与外部llama服务进程通信，由server/routes.go的Serve()函数启动。因此，我应该说明...

[1656/1658] Generating binary image from built executable esptool.py v4.8.1 Creating esp32s3 image... Merged 2 ELF sections Successfully created esp32s3 image. Generated /home/jichu/esp32/lvgl_display/build/lvgl_display.bin [1657/1658] cd /home/jichu/esp32/lvgl_...32/lvgl_display/build/lvgl_display.bin lvgl_display.bin binary size 0x18b940 bytes. Smallest app partition is 0x300000 bytes. 0x1746c0 bytes (48%) free. [1657/1658] cd /home/jichu/esp32/esp-i...nents/esptool_py/run_serial_tool.cmake esptool.py --chip esp32s3 -p /dev/ttyACM0 -b 460800 --before=default_reset --after=hard_reset write_flash --flash_mode dio --flash_freq 80m --flash_size 16MB 0x0 bootloader/bootloader.bin lvgl_display.bin 0x8000 partition_table/partition-table.bin usage: esptool write_flash [-h] [--erase-all] [--flash_freq {keep,80m,60m,48m,40m,30m,26m,24m,20m,16m,15m,12m}] [--flash_mode {keep,qio,qout,dio,dout}] [--flash_size {detect,keep,256KB,512KB,1MB,2MB,2MB-c1,4MB,4MB-c1,8MB,16MB,32MB,64MB,128MB}] [--spi-connection SPI_CONNECTION] [--no-progress] [--verify] [--encrypt] [--encrypt-files
<filename> [
<filename> ...]] [--ignore-flash-encryption-efuse-setting] [--force] [--compress | --no-compress]
<filename> [
<filename> ...] esptool write_flash: error: argument
<filename>: Address "lvgl_display.bin" must be a number CMake Error at run_serial_tool.cmake:66 (message): /home/jichu/.espressif/python_env/idf5.2_py3.8_env/bin/python;;/home/jichu/esp32/esp-idf/components/esptool_py/esptool/esptool.py;--chip;esp32s3 failed. FAILED: CMakeFiles/flash cd /home/jichu/esp32/esp-idf/components/esptool_py && /usr/bin/cmake -D IDF_PATH=/home/jichu/esp32/esp-idf -D "SERIAL_TOOL=/home/jichu/.espressif/python_env/idf5.2_py3.8_env/bin/python;;/home/jichu/esp32/esp-idf/components/esptool_py/esptool/esptool.py;--chip;esp32s3" -D "SERIAL_TOOL_ARGS=--before=default_reset;--after=hard_reset;write_flash;@flash_args" -D WORKING_DIRECTORY=/home/jichu/esp32/lvgl_display/build -P /home/jichu/esp32/esp-idf/components/esptool_py/run_serial_tool.cmake ninja: build stopped: subcommand failed. ninja failed with exit code 1, output of the command is in the /home/jichu/esp32/lvgl_display/build/log/idf_py_stderr_output_42355 and /home/jichu/esp32/lvgl_display/build/log/idf_py_stdout_output_42355

好的，用户遇到了一个在...3. 运行idf.py partition-table单独生成分区表进行验证 执行上述步骤后，烧录过程应能正常完成。如仍有问题，请提供partitions.csv内容及build/flash_args文件内容以便进一步分析。

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在分析给定的文件信息后，我们可以从中提取以下几个知识点： 1. 软件开发基础知识 - 拼图小软件的开发，说明了软件开发的基本概念，即通过编程语言实现特定的功能。 - 软件面向的用户群是小孩，说明在开发时考虑到了用户的需求和易用性。 2. VB.net 编程语言 - 本软件是使用 VB.net 开发的，说明开发者掌握了 VB.net 的编程技巧和语法。 - VB.net 是一种基于 .NET 框架的面向对象的编程语言，它继承了 Visual Basic 的简单易学特点，并扩展了对面向对象编程的支持。 - VB.net 适用于快速开发 Windows 窗体应用程序、ASP.NET 应用程序以及各种 Web 服务。 3. 拼图游戏的实现逻辑 - 拼图游戏通常包括将一系列打乱顺序的图片块重新排列，直到图片完整为止。 - 拼图游戏的编程实现需要处理图形用户界面（GUI）的设计、图像处理、用户输入、逻辑判断等多方面问题。 - 通过软件实现拼图游戏，开发者必须熟悉 VB.net 中的窗体控件、事件处理机制以及如何在窗体上绘制图形和响应用户操作。 4. 开发环境及工具 - 开发类似拼图小软件需要使用到如 Visual Studio 这类集成开发环境（IDE），它支持 VB.net 语言并且提供代码编辑、调试和编译等功能。 - 在开发过程中，可能需要使用到图像处理库来加载、显示和操作图片。 5. 软件设计模式及架构 - 拼图软件的开发过程中涉及到软件设计模式的使用，例如 MVC（模型-视图-控制器）模式，该模式有助于分离软件的界面、数据和逻辑处理。 - 软件架构设计中可能包含模块化的思想，将拼图游戏分解为多个可以独立开发和测试的功能模块。 6. 文件操作和资源管理 - 由于提供了文件名称列表“ch4_09 拼图小游戏12-5”，可能意味着开发过程中涉及到了文件的读写操作，例如保存游戏状态、加载资源文件等。 - 在资源管理方面，需要处理图片资源的加载、存储以及在游戏中显示图片碎片等问题。 7. 用户体验设计 - 软件面向小孩，开发者在设计软件时会考虑到图形界面的趣味性、操作的简便性和反馈的及时性，来提高儿童用户的使用满意度。 - 用户体验设计可能包括色彩运用、游戏难度设置、动画效果和声音反馈等。 8. 教育与娱乐结合 - 拼图游戏是寓教于乐的典型应用，可以锻炼儿童的观察能力、记忆力和逻辑思维能力。 - 开发这样的软件，也展示了如何通过编程将教育内容与娱乐活动结合，提升软件的实用价值。 总结以上知识点，可以看出该拼图小软件的开发过程涵盖了软件开发基础、VB.net 编程语言的实践应用、游戏开发逻辑、开发工具与环境的运用、软件设计模式的实践、文件与资源管理、用户体验设计原则以及教育游戏的开发等多个方面的技术与理论知识。这不仅是一次技术实践，也是对开发者的综合能力的检验。