/// saves a buffer to a png with a width and a height (h) at a path pub fn save_png(buf: &[u16], w: u32, h: u32, path: &std::path::Path) -> Result<(), Box<dyn Error>> { let (max, min) = (*buf.iter().max().unwrap() as f64, *buf.iter().min().unwrap() as f64); println!("saving png: maximum pixel value {} {:?}", max, &path); let data: Vec<u8> = buf.iter().flat_map(|i| ((((*i as f64) / max) * 65530.0) as u16).to_be_bytes()).collect(); let buf_writer = &mut BufWriter::new(std::fs::File::create(path.with_extension("png"))?); let mut encoder = png::Encoder::new(buf_writer, w, h); encoder.set_color(png::ColorType::Grayscale); encoder.set_depth(png::BitDepth::Sixteen); let mut writer = encoder.write_header()?; writer.write_image_data(&data)?; Ok(()) }

时间: 2024-04-17 19:22:59 浏览: 156
这段代码是一个函数,用于将缓冲区保存为指定宽度和高度的 PNG 图像文件。 该函数的签名是 `pub fn save_png(buf: &[u16], w: u32, h: u32, path: &std::path::Path) -> Result<(), Box<dyn Error>>`,接受四个参数: - `buf`:包含图像像素值的缓冲区,类型为 `&[u16]`。 - `w`:图像的宽度,类型为 `u32`。 - `h`:图像的高度,类型为 `u32`。 - `path`:保存 PNG 文件的路径,类型为 `&std::path::Path`。 函数的实现逻辑如下: 1. 通过迭代器方法求取缓冲区中的最大值和最小值,并将其转换为 `f64` 类型的最大值 `max` 和最小值 `min`。 2. 打印输出最大像素值和路径信息。 3. 创建一个空的 `Vec<u8>` 类型的变量 `data`。 4. 使用 `flat_map()` 方法遍历缓冲区中的每个像素值,并将其转换为 `[u8; 2]` 类型的大端序字节,并将结果添加到 `data` 中。 5. 创建一个 `BufWriter` 类型的变量 `buf_writer`,用于写入 PNG 文件。 6. 使用给定路径的文件名后缀为 `.png` 创建一个新的路径,并打开对应文件进行写入操作。 7. 创建一个 `png::Encoder` 对象 `encoder`,用于设置 PNG 文件的编码参数。 8. 设置编码器的颜色类型为灰度图像 (`Grayscale`) 和位深度为 16 位 (`BitDepth::Sixteen`)。 9. 调用 `encoder.write_header()` 方法,获取一个可写入图像数据的 `png::Writer` 对象 `writer`。 10. 调用 `writer.write_image_data()` 方法,将图像数据写入 PNG 文件。 11. 如果所有操作都成功完成,则返回 `Ok(())` 表示成功;否则,返回一个错误信息。 这段代码实现了将缓冲区的像素数据转换为 PNG 图像文件并保存的功能。
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/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.

[INFO|<string>:438] 2025-03-04 19:33:39,759 >> Training completed. Do not forget to share your model on huggingface.co/models =) swanlab: Step 210 on key train/epoch already exists, ignored. swanlab: Step 210 on key train/num_input_tokens_seen already exists, ignored. {'train_runtime': 222.6408, 'train_samples_per_second': 7.546, 'train_steps_per_second': 0.943, 'train_loss': 3.434720888591948, 'epoch': 30.0, 'num_input_tokens_seen': 665264} 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 210/210 [03:39<00:00, 1.04s/it] [INFO|trainer.py:3942] 2025-03-04 19:33:39,764 >> Saving model checkpoint to saves/DeepSeek-R1-1.5B-Distill/lora/train_2025-03-04-19-22-19 [INFO|configuration_utils.py:697] 2025-03-04 19:33:39,782 >> loading configuration file /root/autodl-tmp/ai/models/DeepSeek-R1-Distill-Qwen-1.5B/config.json [INFO|configuration_utils.py:771] 2025-03-04 19:33:39,783 >> Model config Qwen2Config { "architectures": [ "Qwen2ForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151643, "hidden_act": "silu", "hidden_size": 1536, "initializer_range": 0.02, "intermediate_size": 8960, "max_position_embeddings": 131072, "max_window_layers": 21, "model_type": "qwen2", "num_attention_heads": 12, "num_hidden_layers": 28, "num_key_value_heads": 2, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000, "sliding_window": 4096, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.49.0", "use_cache": true, "use_mrope": false, "use_sliding_window": false, "vocab_size": 151936 } ***** train metrics ***** epoch = 30.0 num_input_tokens_seen = 665264 total_flos = 5773005GF train_loss = 3.4347 train_runtime = 0:03:42.64 train_samples_per_second = 7.546 train_steps_per_second = 0.943 Figure saved at: saves/DeepSeek-R1-1.5B-Distill/lora/train_2025-03-04-19-22-19/training_loss.png [WARNING|2025-03-04 19:33:40] llamafactory.extras.ploting:162 >> No metric eval_loss to plot. [WARNING|2025-03-04 19:33:40] llamafactory.extras.ploting:162 >> No metric eval_accuracy to plot. [INFO|modelcard.py:449] 2025-03-04 19:33:40,019 >> Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}} swanlab: Experiment dragon-6 has completed swanlab: 🌟 Run swanlab watch /root/autodl-tmp/ai/LLaMA-Factory/swanlog to view SwanLab Experiment Dashboard locally swanlab: 🏠 View project at https://swanlab.cn/@chrisfang/llamafactory-test swanlab: 🚀 View run at https://swanlab.cn/@chrisfang/llamafactory-test/runs/l0n927vfjxvq6iclvs3a8 优化空间

/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 16:30:36.069853 3914856 torch/distributed/run.py:766] W0703 16:30:36.069853 3914856 torch/distributed/run.py:766] ***************************************** W0703 16:30:36.069853 3914856 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 16:30:36.069853 3914856 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 [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,321 >> loading file tokenizer.model [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,322 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,322 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,322 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,322 >> loading file tokenizer_config.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,322 >> loading file chat_template.jinja /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 [INFO|tokenization_utils_base.py:2313] 2025-07-03 16:30:43,904 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|configuration_utils.py:697] 2025-07-03 16:30:43,913 >> loading configuration file /mnt/data1/models/1.5B/config.json [INFO|configuration_utils.py:771] 2025-07-03 16:30:43,919 >> Model config Qwen2Config { "_name_or_path": "/mnt/data1/models/1.5B", "architectures": [ "Qwen2ForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151643, "hidden_act": "silu", "hidden_size": 1536, "initializer_range": 0.02, "intermediate_size": 8960, "max_position_embeddings": 131072, "max_window_layers": 21, "model_type": "qwen2", "num_attention_heads": 12, "num_hidden_layers": 28, "num_key_value_heads": 2, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000, "sliding_window": 4096, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.49.0", "use_cache": true, "use_mrope": false, "use_sliding_window": false, "vocab_size": 151936 } [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file tokenizer.model [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file tokenizer_config.json [INFO|tokenization_utils_base.py:2048] 2025-07-03 16:30:43,920 >> loading file chat_template.jinja [INFO|tokenization_utils_base.py:2313] 2025-07-03 16:30:44,493 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. /usr/local/lib/python3.11/dist-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via init_process_group or barrier . Using the current device set by the user. warnings.warn( # warn only once [rank1]:[W703 16:30:45.102845887 ProcessGroupNCCL.cpp:4718] [PG ID 0 PG GUID 0 Rank 1] using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device. /usr/local/lib/python3.11/dist-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via init_process_group or barrier . Using the current device set by the user. warnings.warn( # warn only once [rank2]:[W703 16:30:45.126706430 ProcessGroupNCCL.cpp:4718] [PG ID 0 PG GUID 0 Rank 2] using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device. /usr/local/lib/python3.11/dist-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via init_process_group or barrier . Using the current device set by the user. warnings.warn( # warn only once [rank3]:[W703 16:30:45.136836682 ProcessGroupNCCL.cpp:4718] [PG ID 0 PG GUID 0 Rank 3] using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device. Setting num_proc from 16 back to 1 for the train split to disable multiprocessing as it only contains one shard. Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 120 examples [00:00, 6525.39 examples/s] Converting format of dataset (num_proc=16): 0%| | 0/120 [00:00<?, ? examples/s] Converting format of dataset (num_proc=16): 0%| | 0/120 [00:00<?, ? examples/s] Converting format of dataset (num_proc=16): 0%| | 0/120 [00:00<?, ? examples/s] /usr/local/lib/python3.11/dist-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via init_process_group or barrier . Using the current device set by the user. warnings.warn( # warn only once [rank0]:[W703 16:31:05.679961201 ProcessGroupNCCL.cpp:4718] [PG ID 0 PG GUID 0 Rank 0] using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device. [rank0]: multiprocess.pool.RemoteTraceback: [rank0]: """ [rank0]: Traceback (most recent call last): [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker [rank0]: result = (True, func(*args, **kwds)) [rank0]: ^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/utils/py_utils.py", line 688, in _write_generator_to_queue [rank0]: for i, result in enumerate(func(**kwargs)): [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3501, in _map_single [rank0]: for i, example in iter_outputs(shard_iterable): [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3475, in iter_outputs [rank0]: yield i, apply_function(example, i, offset=offset) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3398, in apply_function [rank0]: processed_inputs = function(*fn_args, *additional_args, **fn_kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/data/converter.py", line 94, in __call__ [rank0]: if self.dataset_attr.prompt and example[self.dataset_attr.prompt]: [rank0]: ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/formatting/formatting.py", line 278, in __getitem__ [rank0]: value = self.data[key] [rank0]: ~~~~~~~~~^^^^^ [rank0]: KeyError: 'instruction' [rank0]: """ [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 51, in run_sft [rank0]: dataset_module = get_dataset(template, model_args, data_args, training_args, stage="sft", **tokenizer_module) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/data/loader.py", line 304, in get_dataset [rank0]: dataset = _get_merged_dataset(data_args.dataset, model_args, data_args, training_args, stage) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/data/loader.py", line 182, in _get_merged_dataset [rank0]: datasets[dataset_name] = _load_single_dataset(dataset_attr, model_args, data_args, training_args) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/data/loader.py", line 162, in _load_single_dataset [rank0]: return align_dataset(dataset, dataset_attr, data_args, training_args) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/LLaMA-Factory/src/llamafactory/data/converter.py", line 279, in align_dataset [rank0]: return dataset.map( [rank0]: ^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 557, in wrapper [rank0]: out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 3171, in map [rank0]: for rank, done, content in iflatmap_unordered( [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/utils/py_utils.py", line 728, in iflatmap_unordered [rank0]: [async_result.get(timeout=0.05) for async_result in async_results] [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/datasets/utils/py_utils.py", line 728, in [rank0]: [async_result.get(timeout=0.05) for async_result in async_results] [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/wiseatc/.local/lib/python3.11/site-packages/multiprocess/pool.py", line 774, in get [rank0]: raise self._value [rank0]: KeyError: 'instruction' [rank0]:[W703 16:31:06.912491219 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 16:31:07.960560 3914856 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3914916 closing signal SIGTERM W0703 16:31:07.961188 3914856 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3914917 closing signal SIGTERM W0703 16:31:07.961536 3914856 torch/distributed/elastic/multiprocessing/api.py:900] Sending process 3914918 closing signal SIGTERM E0703 16:31:08.371267 3914856 torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 3914915) 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_16:31:07 host : wiseatc-Super-Server rank : 0 (local_rank: 0) exitcode : 1 (pid: 3914915) 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', '41919', '/home/wiseatc/LLaMA-Factory/src/llamafactory/launcher.py', 'saves/DeepSeek-R1-1.5B-Distill/lora/train_2025-07-03-16-29-46/training_args.yaml']' returned non-zero exit status 1.

petalinux-config --get-hw-description=./project-spec/hw-description --silentconfig --force getopt: unrecognized option '--force' Configures the project or the specified component with menuconfig. Usage: petalinux-config [options] {--component <COMPONENT> |--get-hw-description[=SRC]} Options: -h, --help show function usage -p, --project path to PetaLinux SDK project. default is the working project --silentconfig takes the default configuration and skips the GUI. -c, --component <COMPONENT> Specify the component If no component is specified, it will do top level project configuration . If you specify a component,it will configure it with menuconfig and saves user's config fragments in meta-user. E.g. -c rootfs, -c busybox --get-hw-description [SRC] get hardware description. if [SRC] is specified, look in that location for an Vivado export to SDK directory. Otherwise, this MUST be run from WITHIN the vivado export to SDK directory. --defconfig [DEFCONFIG_TARGET] defconfig the specified component. It applies to kernel and u-boot. -v, --verbose verbose mode Note: There is no validation for configurable components. User can provide any component, bitbake will throw error for invalid components. Sync hardware description: Sync hardware description from Vivado export to PetaLinux BSP project: $ cd <Vivado_Export_to_SDK_Directory> $ petalinux-config --get-hw-description It will sync up the XSA file from <Vivado_Export_to_SDK_Directory> to project-spec/hw-description/ directory. Sync hardware description inside PetaLinux project but outside Vivado export to SDK directory: $ petalinux-config --get-hw-description=<Vivado_Export_to_SDK_Directory> If more than one XSA files in <Vivado_Export_to_SDK_Directory> specify the exact file path using $ petalinux-config --get-hw-description <Vivado_Export_to_SDK_Directory>/system.xsa Configure PetaLinux project: Configure subsystem level configuration: $ petalinux-config Configure kernel: $ petalinux-config -c kernel Configure rootfs: $ petalinux-config -c rootfs Defconfig kconfig kernel with xilinx_zynq_base_trd_defconfig: $ petalinux-config -c kernel --defconfig xilinx_zynq_base_trd_defconfig这个打印信息是正确的吗

/******************************************************************************* *BSD 3-Clause License * *Copyright (c) 2016-2023, Mech-Mind Robotics *All rights reserved. * *Redistribution and use in source and binary forms, with or without *modification, are permitted provided that the following conditions are met: * *1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * *2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * *3. Neither the name of the copyright holder nor the names of its * contributors may be used to endorse or promote products derived from * this software without specific prior written permission. * *THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" *AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE *IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE *DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE *FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL *DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR *SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER *CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, *OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE *OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ******************************************************************************/ #pragma once #include <memory> #include <string> #include "common/StatusCode.h" namespace mmind::dl { /** * @brief Defines the Image. */ struct MMIND_DL_SDK_EXPORT MMindImage { /** * @brief Creates an image from its path. * @param [in] imagePath Image storage path. * @return See @ref StatusCode for details. */ StatusCode createFromPath(const std::string& imagePath); /** * @brief Visualizes an image. * @param [in] winName The window name for visualizing an image. * @return See @ref StatusCode for details. * @note The size of the image display window equals to that of the image. */ StatusCode show(const std::string& winName); /** * @brief Saves the image to a specified directory. * @param [in] savePath The path to save the image. * @return See @ref StatusCode for details. */ StatusCode save(const std::string& savePath); /** * @brief Releases the memory of the image. */ ~MMindImage(); int width = 0; ///< The width of the image. int height = 0; ///< The height of the image. int channel = 0; ///< The number of channels in the image. int depth = 0; ///< The depth of the image. std::shared_ptr<unsigned char> data = nullptr; ///< The pointer of the image data. }; } // namespace mmind::dl 这里面的析构函数还是虚函数,不需要绑定吗? ~MMindImage();

利用以上改善代码的思路帮我改善下面的代码 from maix import camera, display, image, nn, app import time, os # 初始化模型 detector = nn.YOLOv5(model="/root/models/mymodel/model_127448.mud", dual_buff=True) ocr = nn.PP_OCR("/root/models/pp_ocr.mud") # OCR模型初始化 SAVE_DIR = "/root/models/mymodel/" os.makedirs(SAVE_DIR, exist_ok=True) # 硬件初始化(关键修改点1) cam = camera.Camera( detector.input_width(), detector.input_height(), format=image.FORMAT_BGR888 # 强制指定摄像头输出格式 ) disp = display.Display() # 状态变量 last_save_time = 0 save_count = 0 # 调试信息打印(关键修改点2) print(f"[系统诊断] 摄像头格式: {cam.format}") print(f"[系统诊断] 检测器输入格式: {detector.input_format}") print(f"[系统诊断] OCR输入格式: {ocr.input_format}") def ocr_processing(img_path): """ 增强版OCR处理函数 """ try: # 加载并转换图像格式(关键修改点3) img = image.load(img_path) if img.format != ocr.input_format: print(f"[格式转换] 原始格式: {img.format} -> 目标格式: {ocr.input_format}") img = img.convert(format=ocr.input_format) # OCR识别处理 objs = ocr.detect(img) text = ''.join([obj.char_str() for obj in objs]) print(f"[识别结果] {text}") # 可视化增强处理 for obj in objs: points = obj.box.to_list() img.draw_keypoints(points, image.COLOR_RED, 4, -1, 1) img.draw_string(obj.box.x4, obj.box.y4, obj.char_str(), image.COLOR_RED) disp.show(img) return text except Exception as e: print(f"[OCR异常] {str(e)}") return "" while not app.need_exit(): try: img = cam.read() objs = detector.detect(img, conf_th=0.5, iou_th=0.45) # 物体检测处理(关键修改点4) if len(objs) > 0 and (time.time() - last_save_time) >= 3: filename = f"{SAVE_DIR}detect_{save_count}_{int(time.time())}.jpg" # 创建保存用图像副本 save_img = img.copy().convert(format=image.FORMAT_BGR888) # 确保保存格式一致 if save_img.save(filename, quality=85): print(f"[图像保存] {filename}") last_save_time = time.time() save_count += 1 ocr_result = ocr_processing(filename) print(f"[识别日志] {ocr_result}") # 显示处理增强 for obj in objs: img.draw_rect(obj.x, obj.y, obj.w, obj.h, color=image.COLOR_RED) msg = f'{detector.labels[obj.class_id]}: {obj.score:.2f}' img.draw_string(obj.x, obj.y+2, msg, scale=0.5, color=image.COLOR_RED) disp.show(img) except Exception as e: print(f"[运行异常] {str(e)}") break

/**************************************************************************** ** ** This file is part of the LibreCAD project, a 2D CAD program ** ** Copyright (C) 2010 R. van Twisk ([email protected]) ** Copyright (C) 2001-2003 RibbonSoft. All rights reserved. ** ** ** This file may be distributed and/or modified under the terms of the ** GNU General Public License version 2 as published by the Free Software ** Foundation and appearing in the file gpl-2.0.txt included in the ** packaging of this file. ** ** This program is distributed in the hope that it will be useful, ** but WITHOUT ANY WARRANTY; without even the implied warranty of ** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ** GNU General Public License for more details. ** ** You should have received a copy of the GNU General Public License ** along with this program; if not, write to the Free Software ** Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA ** ** This copyright notice MUST APPEAR in all copies of the script! ** **********************************************************************/ #ifndef QC_APPLICATIONWINDOW_H #define QC_APPLICATIONWINDOW_H #undef QT_NO_WORKSPACE #include <qworkspace.h> #include "qc_mdiwindow.h" #include "qg_mainwindowinterface.h" #ifdef RS_SCRIPTING #include "qs_scripter.h" #include <qsproject.h> #endif class QG_LibraryWidget; class QG_CadToolBar; class QC_DialogFactory; class QG_LayerWidget; class QG_BlockWidget; class QG_CommandWidget; class QG_CoordinateWidget; class QG_MouseWidget; class QG_SelectionWidget; class QG_RecentFiles; class QG_PenToolBar; class QHelpEngine; class QC_PluginInterface; /** * Main application window. Hold together document, view and controls. * * @author Andrew Mustun */ class QC_ApplicationWindow: public QMainWindow, public QG_MainWindowInterface { Q_OBJECT public: QC_ApplicationWindow(); ~QC_ApplicationWindow(); void initActions(); void initMenuBar(); void initToolBar(); void initStatusBar(); void initSettings(); void restoreDocks(); void storeSettings(); void updateRecentFilesMenu(); void initMDI(); void initView(); bool queryExit(bool force); /** Catch hotkey for giving focus to command line. */ virtual void keyPressEvent(QKeyEvent* e); virtual void keyReleaseEvent(QKeyEvent* e); public slots: virtual void show(); void finishSplashScreen(); void slotFocus(); void slotBack(); void slotKillAllActions(); //void slotNext(); void slotEnter(); void slotFocusCommandLine(); void slotError(const QString& msg); void slotWindowActivated(QWidget* w); void slotWindowsMenuAboutToShow(); void slotWindowsMenuActivated(int); void slotTileHorizontal(); void slotTileVertical(); void slotPenChanged(RS_Pen p); /** generates a new document for a graphic. */ QC_MDIWindow* slotFileNew(RS_Document* doc=NULL); /** opens a document */ void slotFileOpen(); /** * opens a recent file document * @param id File Menu id of the file */ void slotFileOpenRecent(int id); /** * opens the given file. */ void slotFileOpen(const QString& fileName, RS2::FormatType type); /** saves a document */ void slotFileSave(); /** saves a document under a different filename*/ void slotFileSaveAs(); /** auto-save document */ void slotFileAutoSave(); /** exports the document as bitmap */ void slotFileExport(); bool slotFileExport(const QString& name, const QString& format, QSize size, bool black, bool bw=false); /** closes the current file */ void slotFileClose(); /** closing the current file */ void slotFileClosing(); /** prints the current file */ void slotFilePrint(); /** shows print preview of the current file */ void slotFilePrintPreview(bool on); /** exits the application */ void slotFileQuit(); /** toggle the grid */ void slotViewGrid(bool toggle); /** toggle the draft mode */ void slotViewDraft(bool toggle); /** toggle the statusbar */ void slotViewStatusBar(bool toggle); // void slotBlocksEdit(); void slotOptionsGeneral(); void slotScriptOpenIDE(); void slotScriptRun(); void slotRunStartScript(); void slotRunScript(); void slotRunScript(const QString& name); void slotInsertBlock(); void slotInsertBlock(const QString& name); /** shows an about dlg*/ void slotHelpAbout(); void slotHelpManual(); /** dumps entities to file */ void slotTestDumpEntities(RS_EntityContainer* d=NULL); /** dumps undo info to stdout */ void slotTestDumpUndo(); /** updates all inserts */ void slotTestUpdateInserts(); /** draws some random lines */ void slotTestDrawFreehand(); /** inserts a test block */ void slotTestInsertBlock(); /** inserts a test ellipse */ void slotTestInsertEllipse(); /** inserts a test text */ void slotTestInsertText(); /** inserts a test image */ void slotTestInsertImage(); /** unicode table */ void slotTestUnicode(); /** math experimental */ void slotTestMath01(); /** resizes window to 640x480 for screen shots */ void slotTestResize640(); /** resizes window to 640x480 for screen shots */ void slotTestResize800(); /** resizes window to 640x480 for screen shots */ void slotTestResize1024(); signals: void gridChanged(bool on); void draftChanged(bool on); void printPreviewChanged(bool on); void windowsChanged(bool windowsLeft); public: /** * @return Pointer to application window. */ static QC_ApplicationWindow* getAppWindow() { return appWindow; } /** * @return Pointer to workspace. */ QWorkspace* getWorkspace() { return workspace; } /** * @return Pointer to the currently active MDI Window or NULL if no * MDI Window is active. */ QC_MDIWindow* getMDIWindow() { if (workspace!=NULL) { return (QC_MDIWindow*)workspace->activeWindow(); } else { return NULL; } } /** * Implementation from RS_MainWindowInterface (and QS_ScripterHostInterface). * * @return Pointer to the graphic view of the currently active document * window or NULL if no window is available. */ virtual RS_GraphicView* getGraphicView() { QC_MDIWindow* m = getMDIWindow(); if (m!=NULL) { return m->getGraphicView(); } return NULL; } /** * Implementation from RS_MainWindowInterface (and QS_ScripterHostInterface). * * @return Pointer to the graphic document of the currently active document * window or NULL if no window is available. */ virtual RS_Document* getDocument() { QC_MDIWindow* m = getMDIWindow(); if (m!=NULL) { return m->getDocument(); } return NULL; } /** * Creates a new document. Implementation from RS_MainWindowInterface. */ virtual void createNewDocument( const QString& fileName = QString::null, RS_Document* doc=NULL) { slotFileNew(doc); if (fileName!=QString::null && getDocument()!=NULL) { getDocument()->setFilename(fileName); } } /** * Implementation from QG_MainWindowInterface. * * @return Pointer to this. */ virtual QMainWindow* getMainWindow() { return this; } /** * @return Pointer to action handler. Implementation from QG_MainWindowInterface. */ virtual QG_ActionHandler* getActionHandler() { return actionHandler; } //virtual QToolBar* createToolBar(const QString& name); //virtual void addToolBarButton(QToolBar* tb); /** * @return Pointer to the qsa object. */ #ifdef RS_SCRIPTING QSProject* getQSAProject() { if (scripter!=NULL) { return scripter->getQSAProject(); } else { return NULL; } } #endif void redrawAll(); void updateGrids(); /** * Implementation from QG_MainWindowInterface. */ virtual void setFocus2() { setFocus(); } /** Block list widget */ QG_BlockWidget* getBlockWidget(void) { return blockWidget; } protected: void closeEvent(QCloseEvent*); virtual void mouseReleaseEvent(QMouseEvent* e); private: /** Pointer to the application window (this). */ static QC_ApplicationWindow* appWindow; QTimer *autosaveTimer; /** Workspace for MDI */ QWorkspace* workspace; /** Dialog factory */ QC_DialogFactory* dialogFactory; /** Layer list widget */ QG_LayerWidget* layerWidget; /** Block list widget */ QG_BlockWidget* blockWidget; /** Library browser widget */ QG_LibraryWidget* libraryWidget; /** Layer list dock widget */ QDockWidget* layerDockWindow; /** Block list dock widget */ QDockWidget* blockDockWindow; /** Library list dock widget */ QDockWidget* libraryDockWindow; /** Command line */ QG_CommandWidget* commandWidget; QDockWidget* commandDockWindow; /** Coordinate widget */ QG_CoordinateWidget* coordinateWidget; /** Mouse widget */ QG_MouseWidget* mouseWidget; /** Selection Status */ QG_SelectionWidget* selectionWidget; /** Option widget for individual tool options */ QToolBar* optionWidget; /** Recent files list */ QG_RecentFiles* recentFiles; /** Action handler. */ QG_ActionHandler* actionHandler; #ifdef RS_SCRIPTING /** Scripting interface. */ QS_Scripter* scripter; #endif QMenu* fileMenu; QMenu* windowsMenu; QMenu* scriptMenu; QMenu* helpMenu; QMenu* testMenu; /** the main toolbars */ QToolBar* fileToolBar; QToolBar* editToolBar; QToolBar* zoomToolBar; // Toolbar for selecting the current pen QG_PenToolBar* penToolBar; // Toolbar for CAD tools QG_CadToolBar* cadToolBar; QHelpEngine* helpEngine; QDockWidget *helpWindow; QAction* scriptOpenIDE; QAction* scriptRun; QAction* helpAboutApp; QAction* helpManual; QAction *testDumpEntities; QAction *testDumpUndo; QAction *testUpdateInserts; QAction *testDrawFreehand; QAction *testInsertBlock; QAction *testInsertText; QAction *testInsertImage; QAction *testUnicode; QAction *testInsertEllipse; QAction *testMath01; QAction *testResize640; QAction *testResize800; QAction *testResize1024; //Plugin support private: void loadPlugins(); QMenu *findMenu(const QString &searchMenu, const QObjectList thisMenuList, const QString& currentEntry); QList<QC_PluginInterface*> loadedPlugins; public slots: void execPlug(); }; #endif 给出完整的代码注释

[INFO|2025-03-04 15:01:37] configuration_utils.py:771 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.49.0", "use_cache": true, "vocab_size": 128256 } [INFO|2025-03-04 15:01:37] tokenization_utils_base.py:2500 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2025-03-04-14-57-37/tokenizer_config.json [INFO|2025-03-04 15:01:37] tokenization_utils_base.py:2509 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2025-03-04-14-57-37/special_tokens_map.json [WARNING|2025-03-04 15:01:37] logging.py:162 >> No metric loss to plot. [WARNING|2025-03-04 15:01:37] logging.py:162 >> No metric eval_loss to plot. [WARNING|2025-03-04 15:01:37] logging.py:162 >> No metric eval_accuracy to plot. [INFO|2025-03-04 15:01:37] trainer.py:4258 >> ***** Running Evaluation ***** [INFO|2025-03-04 15:01:37] trainer.py:4260 >> Num examples = 8 [INFO|2025-03-04 15:01:37] trainer.py:4263 >> Batch size = 2 [INFO|2025-03-04 15:01:38] modelcard.py:449 >> Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}

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