added model
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import os
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from abc import ABC, abstractmethod
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from .entity import Entity
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from .train import train, TrainingParams, cd_jens
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from .matrix import Mat, np
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from .status import Status
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from .state import RbmState
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class Model(ABC):
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known_classes = [Entity]
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def __init__(self, name: str = "myStack", work_dir: str = "."):
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self.name = name
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self.work_dir = work_dir
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def objects(self, obj_type: type = Entity) -> list[Entity]:
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obj_list: list[type[obj_type]] = []
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for name, value in self.__dict__.items():
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if isinstance(value, obj_type):
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obj_list.append(value)
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return obj_list
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def train(self, batch: Mat, params: TrainingParams):
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_batch = np.copy(batch)
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for entity in self.objects(Entity):
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train(entity, _batch, params, Status(), cd_jens)
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_batch = entity(_batch)
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@abstractmethod
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def forward(self, x: Mat) -> Mat:
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pass
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def save(self):
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for index, entity in enumerate(self.objects(Entity)):
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filepath = os.path.join(self.work_dir, f"{self.name}-{index}-state.npz")
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entity.state.to_file(filepath)
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def load(self):
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for index, entity in enumerate(self.objects(Entity)):
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filepath = os.path.join(self.work_dir, f"{self.name}-{index}-state.npz")
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state = RbmState.from_file(filepath)
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if state is not None:
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entity.state = state
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