mirror of
https://github.com/gryf/coach.git
synced 2025-12-17 19:20:19 +01:00
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
77 lines
2.4 KiB
Python
77 lines
2.4 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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from enum import Enum
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class DataStoreParameters(object):
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def __init__(self, store_type, orchestrator_type, orchestrator_params):
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self.store_type = store_type
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self.orchestrator_type = orchestrator_type
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self.orchestrator_params = orchestrator_params
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class DataStore(object):
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"""
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DataStores are used primarily to synchronize policies between training workers and rollout
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workers. In the case of the S3DataStore, it is also being used to explicitly log artifacts such
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as videos and logs into s3 for users to look at later. Artifact logging should be moved into a
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separate instance of the DataStore class, or a different class altogether. It is possible that
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users might be interested in logging artifacts through s3, but coordinating communication of
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policies using something else like redis.
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"""
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def __init__(self, params: DataStoreParameters):
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"""
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The parameters provided in the constructor to a DataStore are expected to contain the
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parameters necessary to serialize and deserialize this DataStore.
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"""
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raise NotImplementedError()
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def deploy(self) -> bool:
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raise NotImplementedError()
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def get_info(self):
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raise NotImplementedError()
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def undeploy(self) -> bool:
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raise NotImplementedError()
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def save_to_store(self):
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raise NotImplementedError()
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def load_from_store(self):
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raise NotImplementedError()
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def save_policy(self, graph_manager):
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raise NotImplementedError()
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def load_policy(self, graph_manager, timeout=-1):
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raise NotImplementedError()
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def end_of_policies(self) -> bool:
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raise NotImplementedError()
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def setup_checkpoint_dir(self, crd=None):
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pass
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class SyncFiles(Enum):
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FINISHED = ".finished"
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LOCKFILE = ".lock"
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TRAINER_READY = ".ready"
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