train (#1521)

zhifu gao

2024-03-21 4482bbcbb912f699a4faecaafd65aa15aec64a51

 funasr/utils/misc.py

@@ -1,7 +1,9 @@
import os
import io
import shutil
from collections import OrderedDict
import numpy as np

from omegaconf import DictConfig, OmegaConf

def statistic_model_parameters(model, prefix=None):
    var_dict = model.state_dict()
@@ -52,4 +54,21 @@
        if isinstance(value, dict) and key in original:
            deep_update(original[key], value)
        else:
            original[key] = value
            original[key] = value
            
            
def prepare_model_dir(**kwargs):
    

    os.makedirs(kwargs.get("output_dir", "./"), exist_ok=True)
    
    yaml_file = os.path.join(kwargs.get("output_dir", "./"), "config.yaml")
    OmegaConf.save(config=kwargs, f=yaml_file)
    print(kwargs)
    logging.info("config.yaml is saved to: %s", yaml_file)

    # model_path = kwargs.get("model_path")
    # if model_path is not None:
    #     config_json = os.path.join(model_path, "configuration.json")
    #     if os.path.exists(config_json):
    #         shutil.copy(config_json, os.path.join(kwargs.get("output_dir", "./"), "configuration.json"))