| | |
| | | # init_param |
| | | init_param = kwargs.get("init_param", None) |
| | | if init_param is not None: |
| | | logging.info(f"Loading pretrained params from {init_param}") |
| | | load_pretrained_model( |
| | | model=model, |
| | | path=init_param, |
| | | ignore_init_mismatch=kwargs.get("ignore_init_mismatch", False), |
| | | oss_bucket=kwargs.get("oss_bucket", None), |
| | | scope_map=kwargs.get("scope_map", None), |
| | | excludes=kwargs.get("excludes", None), |
| | | ) |
| | | if os.path.exists(init_param): |
| | | logging.info(f"Loading pretrained params from {init_param}") |
| | | load_pretrained_model( |
| | | model=model, |
| | | path=init_param, |
| | | ignore_init_mismatch=kwargs.get("ignore_init_mismatch", False), |
| | | oss_bucket=kwargs.get("oss_bucket", None), |
| | | scope_map=kwargs.get("scope_map", None), |
| | | excludes=kwargs.get("excludes", None), |
| | | ) |
| | | else: |
| | | print(f"error, init_param does not exist!: {init_param}") |
| | | |
| | | return model, kwargs |
| | | |