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coach/rl_coach/memories/memory.py
2019-07-14 18:43:48 +03:00

78 lines
2.1 KiB
Python

#
# Copyright (c) 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from enum import Enum
from typing import Tuple
from rl_coach.base_parameters import Parameters
from rl_coach.memories.backend.memory import MemoryBackend
class MemoryGranularity(Enum):
Transitions = 0
Episodes = 1
class MemoryParameters(Parameters):
def __init__(self):
super().__init__()
self.max_size = None
self.shared_memory = False
self.load_memory_from_file_path = None
@property
def path(self):
return 'rl_coach.memories.memory:Memory'
class Memory(object):
def __init__(self, max_size: Tuple[MemoryGranularity, int]):
"""
:param max_size: the maximum number of objects to hold in the memory
"""
self.max_size = max_size
self._length = 0
self.memory_backend = None
def store(self, obj):
if self.memory_backend:
self.memory_backend.store(obj)
def store_episode(self, episode):
if self.memory_backend:
self.memory_backend.store(episode)
def get(self, index):
raise NotImplementedError("")
def length(self):
raise NotImplementedError("")
def sample(self, size):
raise NotImplementedError("")
def clean(self):
raise NotImplementedError("")
def set_memory_backend(self, memory_backend: MemoryBackend):
self.memory_backend = memory_backend
def num_transitions(self) -> int:
"""
Get the number of transitions in the ER
"""
raise NotImplementedError("")