Converting the file into exe

[yxteo2]

Hi I am trying to use pyinstaller to convert this into an exe file.
However, I meet some problem in pytorch lightning where inside it got importlib which causes error in the conversion.
Can anyone help me to solve this?

import torch
from pytorch_lightning import Trainer, seed_everything
from anomalib.engine import Engine
import argparse
from anomalib.deploy import ExportType

import os


def train(args):
    currpath = os.getcwd()
    # Load the configuration
    if args.config_path == None:
        CONFIG_PATH = currpath + f"\\model\\{args.model}.yaml"
    else:
        CONFIG_PATH = args.config_path
    
    engine, model, datamodule = Engine.from_config(CONFIG_PATH)
    datamodule.category = args.category
    # datamodule.trainer.max_epochs = args.max_epochs

    if args.model == 'EfficientAD':
        datamodule.train_batch_size = 1
    else:
        datamodule.train_batch_size = args.batch_size

    device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
    model.to(device)

    engine.fit(model=model, datamodule=datamodule, ckpt_path = None)

    path_list = engine.trainer.checkpoint_callback.best_model_path.split('\\')
    export_root = "/".join([path_list[6:9][-1], datamodule.category, args.model, path_list[6:9][-2]])

    engine.export(
        model=model,  # The model to be exported
        export_type=ExportType.TORCH,  # Export the model as ONNX format
        export_root=export_root,  # The directory where the model will be saved
        datamodule=datamodule,  # Data module (used to pass data-related information during export)
        ckpt_path=engine.trainer.checkpoint_callback.best_model_path,  # Path to the model checkpoint
    )


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Anomaly", add_help=True)
    parser.add_argument("--model", default="patchcore", help="model")
    parser.add_argument("--category", type=str, default="led", help="category")
    parser.add_argument("--batch_size", type=int, required=True, default=1, help="batch size")
    # parser.add_argument("--max_epochs", type=int, required=True, default=10, help="max_epochs")
    parser.add_argument("--config_path", type=str, help="CONFIG_PATH")

    args = parser.parse_args()
    train(args)

The error
from pytorch_lightning import Trainer, seed_everything File "<frozen importlib._bootstrap>", line 1027, in _find_and_load File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 688, in _load_unlocked File "PyInstaller\loader\pyimod02_importers.py", line 384, in exec_module File "pytorch_lightning\__init__.py", line 25, in <module> File "<frozen importlib._bootstrap>", line 1027, in _find_and_load File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 688, in _load_unlocked File "PyInstaller\loader\pyimod02_importers.py", line 384, in exec_module File "lightning_fabric\__init__.py", line 13, in <module> File "<frozen importlib._bootstrap>", line 1027, in _find_and_load File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 688, in _load_unlocked File "PyInstaller\loader\pyimod02_importers.py", line 384, in exec_module File "lightning_fabric\__version__.py", line 8, in <module> FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\user\\AppData\\Local\\Temp\\_MEI95922\\lightning_fabric\\version.info' [PYI-19980:ERROR] Failed to execute script 'training' due to unhandled exception!