游雁
2023-03-23 129cfcd9f283dea0d64f2e20b77662febc2d802c
funasr/tasks/abs_task.py
@@ -639,12 +639,12 @@
                 "and exclude_keys excludes keys of model states for the initialization."
                 "e.g.\n"
                 "  # Load all parameters"
                 "  --init_param some/where/model.pth\n"
                 "  --init_param some/where/model.pb\n"
                 "  # Load only decoder parameters"
                 "  --init_param some/where/model.pth:decoder:decoder\n"
                 "  --init_param some/where/model.pb:decoder:decoder\n"
                 "  # Load only decoder parameters excluding decoder.embed"
                 "  --init_param some/where/model.pth:decoder:decoder:decoder.embed\n"
                 "  --init_param some/where/model.pth:decoder:decoder:decoder.embed\n",
                 "  --init_param some/where/model.pb:decoder:decoder:decoder.embed\n"
                 "  --init_param some/where/model.pb:decoder:decoder:decoder.embed\n",
        )
        group.add_argument(
            "--ignore_init_mismatch",
@@ -1193,12 +1193,18 @@
            # logging.basicConfig() is invoked in main_worker() instead of main()
            # because it can be invoked only once in a process.
            # FIXME(kamo): Should we use logging.getLogger()?
            # BUGFIX: Remove previous handlers and reset log level
            for handler in logging.root.handlers[:]:
                logging.root.removeHandler(handler)
            logging.basicConfig(
                level=args.log_level,
                format=f"[{os.uname()[1].split('.')[0]}]"
                       f" %(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
            )
        else:
            # BUGFIX: Remove previous handlers and reset log level
            for handler in logging.root.handlers[:]:
                logging.root.removeHandler(handler)
            # Suppress logging if RANK != 0
            logging.basicConfig(
                level="ERROR",
@@ -1576,6 +1582,7 @@
            preprocess=iter_options.preprocess_fn,
            max_cache_size=iter_options.max_cache_size,
            max_cache_fd=iter_options.max_cache_fd,
            dest_sample_rate=args.frontend_conf["fs"],
        )
        cls.check_task_requirements(
            dataset, args.allow_variable_data_keys, train=iter_options.train