Method log

verl/utils/tracking.py:224–251

(self, data, step)

        return self._task.get_logger()

    def log(self, data, step):
        import numpy as np
        import pandas as pd

        # logs = self._rewrite_logs(data)
        logger = self._get_logger()
        for k, v in data.items():
            title, series = k.split("/", 1)

            if isinstance(v, int | float | np.floating | np.integer):
                logger.report_scalar(
                    title=title,
                    series=series,
                    value=v,
                    iteration=step,
                )
            elif isinstance(v, pd.DataFrame):
                logger.report_table(
                    title=title,
                    series=series,
                    table_plot=v,
                    iteration=step,
                )
            else:
                logger.warning(
                    f'Trainer is attempting to log a value of "{v}" of type {type(v)} for key "{k}". This '
                    f"invocation of ClearML logger's function is incorrect so this attribute was dropped. "
                )

    def finish(self):
        self._task.close()