mirror of
https://github.com/wassname/ray.git
synced 2026-07-03 21:48:43 +08:00
Eric Liang
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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from ray.rllib.offline.input_reader import SamplerInput
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from ray.rllib.utils.annotations import PublicAPI
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@PublicAPI
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class IOContext(object):
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"""Attributes to pass to input / output class constructors.
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RLlib auto-sets these attributes when constructing input / output classes.
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Attributes:
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log_dir (str): Default logging directory.
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config (dict): Configuration of the agent.
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worker_index (int): When there are multiple workers created, this
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uniquely identifies the current worker.
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evaluator (PolicyEvaluator): policy evaluator object reference.
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"""
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@PublicAPI
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def __init__(self,
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log_dir=None,
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config=None,
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worker_index=0,
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evaluator=None):
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self.log_dir = log_dir or os.getcwd()
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self.config = config or {}
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self.worker_index = worker_index
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self.evaluator = evaluator
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@PublicAPI
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def default_sampler_input(self):
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return SamplerInput(self.evaluator.sampler)
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