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https://github.com/gryf/coach.git
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7b0fccb041
* GraphManager.set_session also sets self.sess * make sure that GraphManager.fetch_from_worker uses training phase * remove unnecessary phase setting in training worker * reorganize rollout worker * provide default name to GlobalVariableSaver.__init__ since it isn't really used anyway * allow dividing TrainingSteps and EnvironmentSteps * add timestamps to the log * added redis data store * conflict merge fix
97 lines
4.0 KiB
Python
97 lines
4.0 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import time
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import os
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from rl_coach.checkpoint import CheckpointStateReader
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from rl_coach.data_stores.data_store import SyncFiles
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class CheckpointDataStore(object):
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"""
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A DataStore which relies on the GraphManager check pointing methods to communicate policies.
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"""
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.checkpoint_num = 0
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def end_of_policies(self) -> bool:
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"""
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Returns true if no new policies will be added to this DataStore. This typically happens
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because training has completed and is used to signal to the rollout workers to stop.
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"""
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return os.path.exists(
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os.path.join(self.checkpoint_dir, SyncFiles.FINISHED.value)
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)
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def save_policy(self, graph_manager):
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# TODO: it would be nice if restore_checkpoint accepted a checkpoint path as a
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# parameter. as it is, one cannot distinguish between checkpoints used for coordination
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# and checkpoints requested to a persistent disk for later use
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graph_manager.task_parameters.checkpoint_restore_path = self.checkpoint_dir
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graph_manager.save_checkpoint()
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def load_policy(self, graph_manager, require_new_policy=True, timeout=None):
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"""
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Load a checkpoint into the specified graph_manager. The expectation here is that
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save_to_store() and load_from_store() will synchronize a checkpoint directory with a
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central repository such as NFS or S3.
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:param graph_manager: the graph_manager to load the policy into
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:param require_new_policy: if True, only load a policy if it hasn't been loaded in this
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process yet before.
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:param timeout: Will only try to load the policy once if timeout is None, otherwise will
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retry for timeout seconds
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"""
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if self._new_policy_exists(require_new_policy, timeout):
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# TODO: it would be nice if restore_checkpoint accepted a checkpoint path as a
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# parameter. as it is, one cannot distinguish between checkpoints used for coordination
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# and checkpoints requested to a persistent disk for later use
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graph_manager.task_parameters.checkpoint_restore_path = self.checkpoint_dir
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graph_manager.restore_checkpoint()
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def _new_policy_exists(self, require_new_policy=True, timeout=None) -> bool:
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"""
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:param require_new_policy: if True, only load a policy if it hasn't been loaded in this
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process yet before.
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:param timeout: Will only try to load the policy once if timeout is None, otherwise will
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retry for timeout seconds
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"""
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checkpoint_state_reader = CheckpointStateReader(
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self.checkpoint_dir, checkpoint_state_optional=False
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)
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checkpoint = "first"
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if timeout is None:
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timeout = 0
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timeout_ends = time.time() + timeout
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while time.time() < timeout_ends or checkpoint == "first":
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if self.end_of_policies():
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return False
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self.load_from_store()
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checkpoint = checkpoint_state_reader.get_latest()
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if checkpoint is not None:
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if not require_new_policy or checkpoint.num > self.checkpoint_num:
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self.checkpoint_num = checkpoint.num
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return True
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raise ValueError(
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"Waited for {timeout} seconds, but no first policy was received.".format(
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timeout=timeout
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)
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)
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