mirror of
https://github.com/vale981/ray
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60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
29 lines
887 B
Python
29 lines
887 B
Python
import os
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from ray.rllib.utils.annotations import PublicAPI
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@PublicAPI
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class IOContext:
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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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worker (RolloutWorker): rollout worker object reference.
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"""
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@PublicAPI
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def __init__(self, log_dir=None, config=None, worker_index=0, worker=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.worker = worker
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@PublicAPI
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def default_sampler_input(self):
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return self.worker.sampler
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