Source code for nnabla_rl.hooks.iteration_state_hook

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import pprint

from nnabla_rl.hook import Hook
from nnabla_rl.logger import logger


[docs]class IterationStateHook(Hook): """Hook which retrieves the iteration state to print/save the training status through writer. Args: timing (int): Retriving interval. Defaults to 1000 iteration. writer (nnabla_rl.writer.Writer, optional): Writer instance to save/print the iteration states. Defaults to None. """ def __init__(self, writer=None, timing=1000): self._timing = timing self._writer = writer
[docs] def on_hook_called(self, algorithm): logger.info("Iteration state at iteration {}".format(algorithm.iteration_num)) latest_iteration_state = algorithm.latest_iteration_state if "scalar" in latest_iteration_state: logger.info(pprint.pformat(latest_iteration_state["scalar"])) if self._writer is not None: for key, value in latest_iteration_state.items(): if key == "scalar": self._writer.write_scalar(algorithm.iteration_num, value) if key == "histogram": self._writer.write_histogram(algorithm.iteration_num, value) if key == "image": self._writer.write_image(algorithm.iteration_num, value)