【debug】diffusion 报错 无法找到yaml配置文件

复现问题

环境信息

使用自己数据集，从configs/latent-diffusion/inpainting_example_overfit.yaml 中修改对应地址得到configs/latent-diffusion/inpainting_catsv2.yaml。

使用指令

验证原始训练没问题

python3 main_inpainting.py --train --name  custom_training --base  configs/latent-diffusion/inpainting_example_overfit.yaml  --gpus 1,   --seed  42

新指令报错

python3 main_inpainting.py --train --name  tst_infrared --base  configs/latent-diffusion/inpainting_catsv2.yaml  --gpus 0,1   --seed  42

报错信息

Traceback (most recent call last):
  File "main_inpainting.py", line 707, in <module>
    trainer.fit(model, data)
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 553, in fit
  
    callback.on_pretrain_routine_start(self, self.lightning_module)
  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 282, in on_pretrain_routine_start
    OmegaConf.save(self.config,
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/omegaconf/omegaconf.py", line 216, in save
    with io.open(os.path.abspath(f), "w", encoding="utf-8") as file:
FileNotFoundError: [Errno 2] No such file or directory: '/home/spai/code/Stable-Diffusion-Inpaint-main/logs/2023-02-08_tst_infrared/configs/2023-02-08-project.yaml'
None

定位到新建项目时缺失文件

main_inpaiting.py

    parser.add_argument(
        "-n",
        "--name",
        type=str,
        const=True,
        default="",
        nargs="?",
        help="postfix for logdir",
    )
    parser.add_argument(
        "-r",
        "--resume",
        type=str,
        const=True,
        default="",
        nargs="?",
        help="resume from logdir or checkpoint in logdir",
    )
    parser.add_argument(
        "-b",
        "--base",
        nargs="*",
        metavar="base_config.yaml",
        help="paths to base configs. Loaded from left-to-right. "
             "Parameters can be overwritten or added with command-line options of the form `--key value`.",
        default=list(),
    )
    parser.add_argument(
        "-t",
        "--train",
        type=str2bool,
        const=True,
        default=False,
        nargs="?",
        help="train",
    )
    parser.add_argument(
        "--no-test",
        type=str2bool,
        const=True,
        default=False,
        nargs="?",
        help="disable test",
    )
    parser.add_argument(
        "-p",
        "--project",
        help="name of new or path to existing project"
    )
    parser.add_argument(
        "-d",
        "--debug",
        type=str2bool,
        nargs="?",
        const=True,
        default=False,
        help="enable post-mortem debugging",
    )
    parser.add_argument(
        "-s",
        "--seed",
        type=int,
        default=23,
        help="seed for seed_everything",
    )
    parser.add_argument(
        "-f",
        "--postfix",
        type=str,
        default="",
        help="post-postfix for default name",
    )
    
    parser.add_argument(
        "-l",
        "--logdir",
        type=str,
        default="logs",
        help="directory for logging dat shit",
    )
    parser.add_argument(
        "--scale_lr",
        type=str2bool,
        nargs="?",
        const=True,
        default=False,
        help="scale base-lr by ngpu * batch_size * n_accumulate",
    )

–name：用于指定日志目录的后缀

尝试 解决

已有的文件复制进去

Traceback (most recent call last):
  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 711, in <module>
    trainer.fit(model, data)


  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 298, in on_pretrain_routine_start
    os.rename(self.logdir, dst)
OSError: [Errno 39] Directory not empty: 'logs/2024-01-02_tst_infrared' -> 'logs/child_runs/2024-01-02_tst_infrared'
None

寻找生成脚本问题

            # Create logdirs and save configs
            os.makedirs(self.logdir, exist_ok=True)
            os.makedirs(self.ckptdir, exist_ok=True)
            os.makedirs(self.cfgdir, exist_ok=True)

            if "callbacks" in self.lightning_config:
                if 'metrics_over_trainsteps_checkpoint' in self.lightning_config['callbacks']:
                    os.makedirs(os.path.join(self.ckptdir, 'trainstep_checkpoints'), exist_ok=True)
            # print("Project config")
            # print(OmegaConf.to_yaml(self.config))
            OmegaConf.save(self.config,
                           os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))

            print("Lightning config")
            print(OmegaConf.to_yaml(self.lightning_config))
            OmegaConf.save(OmegaConf.create({"lightning": self.lightning_config}),
                           os.path.join(self.cfgdir, "{}-lightning.yaml".format(self.now)))

使用打印后解决？？？

            if DEBUG:
                print("Project config")
                print(OmegaConf.to_yaml(self.config))
                print('')
                print('debug: save cfg ...',os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))

新问题定位

  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 286, in on_pretrain_routine_start
    OmegaConf.save(self.config,
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/omegaconf/omegaconf.py", line 216, in save
    with io.open(os.path.abspath(f), "w", encoding="utf-8") as file:
FileNotFoundError: [Errno 2] No such file or directory: '/home/spai/code/Stable-Diffusion-Inpaint-main/logs/2024-01-02_tst_infrared_6/configs/2024-01-02-project.yaml'
None

            if DEBUG:
                print("Project config")
                print(OmegaConf.to_yaml(self.config))
                print('')
                print('debug: save cfg ...',os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))
            # todo bug位置
            OmegaConf.save(self.config,
                           os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))

    @staticmethod
    def save(
        config: Any, f: Union[str, pathlib.Path, IO[Any]], resolve: bool = False
    ) -> None:
        """
        Save as configuration object to a file
        :param config: omegaconf.Config object (DictConfig or ListConfig).
        :param f: filename or file object
        :param resolve: True to save a resolved config (defaults to False)
        """
        if is_dataclass(config) or is_attr_class(config):
            config = OmegaConf.create(config)
        data = OmegaConf.to_yaml(config, resolve=resolve)
        if isinstance(f, (str, pathlib.Path)):
            with io.open(os.path.abspath(f), "w", encoding="utf-8") as file:
                file.write(data)
        elif hasattr(f, "write"):
            f.write(data)
            f.flush()
        else:
            raise TypeError("Unexpected file type")

其他问题

FileNotFoundError: [Errno 2] No such file or directory: 'logs/2024-01-02_tst_infrared_3/configs'

存放位置问题？ 未更改脚本时候

第二次运行相同name 报错

debug: setup files logs/2024-01-02_tst_infrared_6 logs/2024-01-02_tst_infrared_6/checkpoints logs/2024-01-02_tst_infrared_6/configs
Project config
Traceback (most recent call last):
  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 717, in <module>
    trainer.fit(model, data)
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 553, in fit
    self._run(model)
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 918, in _run
    self._dispatch()
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 986, in _dispatch
    self.accelerator.start_training(self)
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/accelerators/accelerator.py", line 92, in start_training
    self.training_type_plugin.start_training(trainer)
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 161, in start_training
    self._results = trainer.run_stage()
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 996, in run_stage
    return self._run_train()
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1026, in _run_train
    self._pre_training_routine()
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1013, in _pre_training_routine
    self.on_pretrain_routine_start()
  File "/home/spai/anaconda3/envs/sdi/lib/python3.8/site-packages/pytorch_lightning/trainer/callback_hook.py", line 164, in on_pretrain_routine_start
    callback.on_pretrain_routine_start(self, self.lightning_module)
  File "/home/spai/code/Stable-Diffusion-Inpaint-main/main_inpainting.py", line 304, in on_pretrain_routine_start
    os.rename(self.logdir, dst)
OSError: [Errno 39] Directory not empty: 'logs/2024-01-02_tst_infrared_6' -> 'logs/child_runs/2024-01-02_tst_infrared_6'
None

主要错误原因

    def on_pretrain_routine_start(self, trainer, pl_module):
        if trainer.global_rank == 0:
            # Create logdirs and save configs
            # todo 似乎是无效？
            os.makedirs(self.logdir, exist_ok=True)
            os.makedirs(self.ckptdir, exist_ok=True)
            os.makedirs(self.cfgdir, exist_ok=True)
            if DEBUG:
                print('')
                print("debug: setup files", self.logdir, self.ckptdir, self.cfgdir) 

            if "callbacks" in self.lightning_config:
                if 'metrics_over_trainsteps_checkpoint' in self.lightning_config['callbacks']:
                    os.makedirs(os.path.join(self.ckptdir, 'trainstep_checkpoints'), exist_ok=True)
            if DEBUG:
                print("Project config")
                # print(OmegaConf.to_yaml(self.config))
                print('')
                print('debug: save cfg ...',os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))
            # todo bug位置
            OmegaConf.save(self.config,
                           os.path.join(self.cfgdir, "{}-project.yaml".format(self.now)))

            print("Lightning config")
            print(OmegaConf.to_yaml(self.lightning_config))
            OmegaConf.save(OmegaConf.create({"lightning": self.lightning_config}),
                           os.path.join(self.cfgdir, "{}-lightning.yaml".format(self.now)))

        else:
            # ModelCheckpoint callback created log directory --- remove it
            if not self.resume and os.path.exists(self.logdir):
                dst, name = os.path.split(self.logdir)
                dst = os.path.join(dst, "child_runs", name)
                os.makedirs(os.path.split(dst)[0], exist_ok=True)
                try:
                    os.rename(self.logdir, dst)
                except FileNotFoundError:
                    pass