added deepsad base code

Deep-SAD-PyTorch/src/base/base_trainer.py

@@ -0,0 +1,34 @@
+from abc import ABC, abstractmethod
+from .base_dataset import BaseADDataset
+from .base_net import BaseNet
+
+
+class BaseTrainer(ABC):
+    """Trainer base class."""
+
+    def __init__(self, optimizer_name: str, lr: float, n_epochs: int, lr_milestones: tuple, batch_size: int,
+                 weight_decay: float, device: str, n_jobs_dataloader: int):
+        super().__init__()
+        self.optimizer_name = optimizer_name
+        self.lr = lr
+        self.n_epochs = n_epochs
+        self.lr_milestones = lr_milestones
+        self.batch_size = batch_size
+        self.weight_decay = weight_decay
+        self.device = device
+        self.n_jobs_dataloader = n_jobs_dataloader
+
+    @abstractmethod
+    def train(self, dataset: BaseADDataset, net: BaseNet) -> BaseNet:
+        """
+        Implement train method that trains the given network using the train_set of dataset.
+        :return: Trained net
+        """
+        pass
+
+    @abstractmethod
+    def test(self, dataset: BaseADDataset, net: BaseNet):
+        """
+        Implement test method that evaluates the test_set of dataset on the given network.
+        """
+        pass