Update ViT

tests/test_super_vit.py

@@ -0,0 +1,29 @@
+#####################################################
+# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
+#####################################################
+# pytest ./tests/test_super_vit.py -s               #
+#####################################################
+import sys
+import unittest
+
+import torch
+from xautodl.xmodels import transformers
+from xautodl.utils.flop_benchmark import count_parameters
+
+class TestSuperViT(unittest.TestCase):
+    """Test the super re-arrange layer."""
+
+    def test_super_vit(self):
+        model = transformers.get_transformer("vit-base")
+        tensor = torch.rand((16, 3, 256, 256))
+        print("The tensor shape: {:}".format(tensor.shape))
+        print(model)
+        outs = model(tensor)
+        print("The output tensor shape: {:}".format(outs.shape))
+
+    def test_model_size(self):
+        name2config = transformers.name2config
+        for name, config in name2config.items():
+            model = transformers.get_transformer(config)
+            size = count_parameters(model, "mb", True)
+            print('{:10s} : size={:.2f}MB'.format(name, size))