unilm/decoding/IAD/fairseq/fairseq_cli/hydra_train.py

#!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

import logging
import os
import sys

from fairseq.dataclass.initialize import hydra_init
from fairseq_cli.train import main as pre_main
from fairseq import distributed_utils, metrics
from fairseq.dataclass.configs import FairseqConfig

import hydra
import torch
from omegaconf import OmegaConf


logger = logging.getLogger("fairseq_cli.hydra_train")


@hydra.main(config_path=os.path.join("..", "fairseq", "config"), config_name="config")
def hydra_main(cfg: FairseqConfig) -> float:
    cfg = OmegaConf.create(OmegaConf.to_container(cfg, resolve=True, enum_to_str=True))

    OmegaConf.set_struct(cfg, True)

    if cfg.common.reset_logging:
        reset_logging()  # Hydra hijacks logging, fix that

    try:
        if cfg.common.profile:
            with torch.cuda.profiler.profile():
                with torch.autograd.profiler.emit_nvtx():
                    distributed_utils.call_main(cfg, pre_main)
        else:
            distributed_utils.call_main(cfg, pre_main)
    except BaseException as e:
        if not cfg.common.suppress_crashes:
            raise
        else:
            logger.error("Crashed! " + str(e))

    # get best val and return - useful for sweepers
    try:
        best_val = metrics.get_smoothed_value(
            "valid", cfg.checkpoint.best_checkpoint_metric
        )
    except:
        best_val = None

    if best_val is None:
        best_val = float("inf")

    return best_val


def reset_logging():
    root = logging.getLogger()
    for handler in root.handlers:
        root.removeHandler(handler)
    root.setLevel(os.environ.get("LOGLEVEL", "INFO").upper())
    handler = logging.StreamHandler(sys.stdout)
    handler.setFormatter(
        logging.Formatter(
            fmt="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
            datefmt="%Y-%m-%d %H:%M:%S",
        )
    )
    root.addHandler(handler)


def cli_main():
    try:
        from hydra._internal.utils import get_args

        cfg_name = get_args().config_name or "config"
    except:
        logger.warning("Failed to get config name from hydra args")
        cfg_name = "config"

    hydra_init(cfg_name)
    hydra_main()


if __name__ == "__main__":
    cli_main()