layers -> xlayers

tests/test_super_model.py

@@ -0,0 +1,28 @@
+#####################################################
+# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
+#####################################################
+# pytest ./tests/test_super_model.py -s             #
+#####################################################
+import sys, random
+import unittest
+import pytest
+from pathlib import Path
+
+lib_dir = (Path(__file__).parent / ".." / "lib").resolve()
+print("library path: {:}".format(lib_dir))
+if str(lib_dir) not in sys.path:
+    sys.path.insert(0, str(lib_dir))
+
+import torch
+from xlayers import super_core
+import spaces
+
+
+class TestSuperLinear(unittest.TestCase):
+    """Test the super linear."""
+
+    def test_super_linear(self):
+        out_features = spaces.Categorical(12, 24, 36)
+        bias = spaces.Categorical(True, False)
+        model = super_core.SuperLinear(10, out_features, bias=bias)
+        print(model)