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63 行
2.2 KiB
63 行
2.2 KiB
import sys
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from typing import List
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# importlib.metadata is new in python3.8
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# We use the backport for older python versions.
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if sys.version_info < (3, 8):
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import importlib_metadata
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else:
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import importlib.metadata as importlib_metadata # pylint: disable=E0611
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from mlagents.trainers.stats import StatsWriter
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from mlagents_envs import logging_util
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from mlagents.plugins import ML_AGENTS_STATS_WRITER
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from mlagents.trainers.settings import RunOptions
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from mlagents.trainers.stats import TensorboardWriter, GaugeWriter, ConsoleWriter
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logger = logging_util.get_logger(__name__)
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def get_default_stats_writers(run_options: RunOptions) -> List[StatsWriter]:
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"""
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The StatsWriters that mlagents-learn always uses:
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* A TensorboardWriter to write information to TensorBoard
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* A GaugeWriter to record our internal stats
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* A ConsoleWriter to output to stdout.
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"""
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checkpoint_settings = run_options.checkpoint_settings
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return [
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TensorboardWriter(
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checkpoint_settings.write_path,
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clear_past_data=not checkpoint_settings.resume,
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),
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GaugeWriter(),
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ConsoleWriter(),
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]
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def register_stats_writer_plugins(run_options: RunOptions) -> List[StatsWriter]:
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"""
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Registers all StatsWriter plugins (including the default one),
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and evaluates them, and returns the list of all the StatsWriter implementations.
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"""
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all_stats_writers: List[StatsWriter] = []
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entry_points = importlib_metadata.entry_points()[ML_AGENTS_STATS_WRITER]
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for entry_point in entry_points:
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try:
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logger.debug(f"Initializing StatsWriter plugins: {entry_point.name}")
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plugin_func = entry_point.load()
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plugin_stats_writers = plugin_func(run_options)
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logger.debug(
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f"Found {len(plugin_stats_writers)} StatsWriters for plugin {entry_point.name}"
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)
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all_stats_writers += plugin_stats_writers
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except BaseException:
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# Catch all exceptions from setting up the plugin, so that bad user code doesn't break things.
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logger.exception(
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f"Error initializing StatsWriter plugins for {entry_point.name}. This plugin will not be used."
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)
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return all_stats_writers
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