layers -> xlayers

lib/xlayers/super_module.py

@@ -0,0 +1,42 @@
+#####################################################
+# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.01 #
+#####################################################
+
+import abc
+import torch.nn as nn
+from enum import Enum
+
+
+class SuperRunMode(Enum):
+    """This class defines the enumerations for Super Model Running Mode."""
+
+    FullModel = "fullmodel"
+    Default = "fullmodel"
+
+
+class SuperModule(abc.ABC, nn.Module):
+    """This class equips the nn.Module class with the ability to apply AutoDL."""
+
+    def __init__(self):
+        super(SuperModule, self).__init__()
+        self._super_run_type = SuperRunMode.Default
+
+    @abc.abstractmethod
+    def abstract_search_space(self):
+        raise NotImplementedError
+
+    @property
+    def super_run_type(self):
+        return self._super_run_type
+
+    @abc.abstractmethod
+    def forward_raw(self, *inputs):
+        raise NotImplementedError
+
+    def forward(self, *inputs):
+        if self.super_run_type == SuperRunMode.FullModel:
+            return self.forward_raw(*inputs)
+        else:
+            raise ModeError(
+                "Unknown Super Model Run Mode: {:}".format(self.super_run_type)
+            )