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* 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
69 lines
2.4 KiB
Python
69 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 rl_coach.data_stores.nfs_data_store import NFSDataStore, NFSDataStoreParameters
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from rl_coach.data_stores.s3_data_store import S3DataStore, S3DataStoreParameters
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from rl_coach.data_stores.redis_data_store import (
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RedisDataStore,
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RedisDataStoreParameters,
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)
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from rl_coach.data_stores.data_store import DataStoreParameters
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def get_data_store(params):
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data_store = None
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if type(params) == NFSDataStoreParameters:
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data_store = NFSDataStore(params)
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elif type(params) == S3DataStoreParameters:
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data_store = S3DataStore(params)
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elif type(params) == RedisDataStoreParameters:
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data_store = RedisDataStore(params)
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else:
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raise ValueError("invalid params type {}".format(type(params)))
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return data_store
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def construct_data_store_params(json: dict):
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ds_params_instance = None
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ds_params = DataStoreParameters(
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json["store_type"], json["orchestrator_type"], json["orchestrator_params"]
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)
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if json["store_type"] == "nfs":
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ds_params_instance = NFSDataStoreParameters(
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ds_params, checkpoint_dir=json["checkpoint_dir"]
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)
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elif json["store_type"] == "s3":
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ds_params_instance = S3DataStoreParameters(
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ds_params=ds_params,
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end_point=json["end_point"],
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bucket_name=json["bucket_name"],
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checkpoint_dir=json["checkpoint_dir"],
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expt_dir=json["expt_dir"],
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)
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elif json["store_type"] == "redis":
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ds_params_instance = RedisDataStoreParameters(
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ds_params,
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redis_address=json["redis_address"],
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redis_port=json["redis_port"],
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redis_channel=json["redis_channel"],
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)
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else:
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raise ValueError("store_type {} was found, expected 'nfs', 'redis' or 's3'.")
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return ds_params_instance
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