| | |
| | | **kwargs, |
| | | ): |
| | | assert check_argument_types() |
| | | logging.basicConfig( |
| | | level=log_level, |
| | | format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s", |
| | | ) |
| | | ncpu = kwargs.get("ncpu", 1) |
| | | torch.set_num_threads(ncpu) |
| | | |
| | | |
| | | if ngpu >= 1 and torch.cuda.is_available(): |
| | | device = "cuda" |
| | |
| | | param_dict: dict = None, |
| | | ): |
| | | results = [] |
| | | if output_dir_v2 is not None: |
| | | writer = DatadirWriter(output_dir_v2) |
| | | output_path = output_dir_v2 if output_dir_v2 is not None else output_dir |
| | | if output_path is not None: |
| | | writer = DatadirWriter(output_path) |
| | | else: |
| | | writer = None |
| | | |