[refactor] move rbm.model → model.model

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/model/model.py

@@ -0,0 +1,46 @@
+import os
+from abc import ABC, abstractmethod
+
+from rbm.entity import Entity
+from rbm.train import train
+from rbm.matrix import Mat, np
+from rbm.status import Status
+
+class Model(ABC):
+	known_classes = [Entity]
+	def __init__(self, name: str = "myStack", work_dir: str = "."):
+		self.name = name
+		self.work_dir = work_dir
+		os.makedirs(self.work_dir, exist_ok=True)
+
+	def objects(self, obj_type: type = Entity) -> list[Entity]:
+		obj_list: list[type[obj_type]] = []
+		for name, value in self.__dict__.items():
+			if isinstance(value, obj_type):
+				obj_list.append(value)
+		return obj_list
+
+	def train(self, batch: Mat, status: Status = None):
+		entities = self.objects(Entity)
+		_batch = np.array(batch)   # np.array() converts numpy→CuPy; np.copy() does not
+		for entity in entities:
+			if entity.enable_training:
+				train(entity, _batch, status if status is not None else Status())
+			_batch = entity.forward(_batch)
+
+	def forward(self, x: Mat) -> Mat:
+		pass
+
+	def save(self):
+		for index, entity in enumerate(self.objects(Entity)):
+			filepath = os.path.join(self.work_dir, f"{self.name}-{index}-state.npz")
+			entity.state.save(filepath)
+
+	def load(self):
+		for index, entity in enumerate(self.objects(Entity)):
+			filepath = os.path.join(self.work_dir, f"{self.name}-{index}-state.npz")
+			entity.state.load(filepath)
+
+	def init(self, std: float):
+		for index, entity in enumerate(self.objects(Entity)):
+			entity.state.init(std=std)