rename trial.py to hello.py.

hello.py

@@ -1,6 +1,6 @@
 import torch
 import torch.nn as nn
-from vit_pytorch import ViT
+from vit_pytorch import ViT,SimpleViT
 
 from utils.data_utils import get_loader_new
 from utils.scheduler import  WarmupCosineSchedule
@@ -11,21 +11,73 @@ import os
 import numpy as np
 
 def net():
+    
     model = ViT(
-        image_size = 320,
+    image_size = 600,
-        patch_size = 32,
+    patch_size = 30,
     num_classes = 5,
     dim = 768,
-        depth = 4,
+    depth = 12,
     heads = 12,
-        mlp_dim = 1024,
+    mlp_dim = 3072,
-        pool = 'cls', 
-        channels = 3, 
-        dim_head = 12,
     dropout = 0.1,
     emb_dropout = 0.1
 )
 
+#     model = SimpleViT(
+#     image_size = 600,
+#     patch_size = 30,
+#     num_classes = 2,
+#     dim = 256,
+#     depth = 6,
+#     heads = 16,
+#     mlp_dim = 256
+# )
+
+    # model = ViT(
+    #     #Vit-best
+    #     # image_size = 600,
+    #     # patch_size = 30,
+    #     # num_classes = 5,
+    #     # dim = 512,
+    #     # depth = 6,
+    #     # heads = 8,
+    #     # mlp_dim = 512,
+    #     # pool = 'cls', 
+    #     # channels = 3, 
+    #     # dim_head = 12,
+    #     # dropout = 0.1,
+    #     # emb_dropout = 0.1
+
+    #     #Vit-small
+    #     image_size = 600,
+    #     patch_size = 30,
+    #     num_classes = 5,
+    #     dim = 256,
+    #     depth = 8,
+    #     heads = 16,
+    #     mlp_dim = 256,
+    #     pool = 'cls', 
+    #     channels = 3, 
+    #     dim_head = 16,
+    #     dropout = 0.1,
+    #     emb_dropout = 0.1
+
+    #     #Vit-tiny
+    #     # image_size = 600,
+    #     # patch_size = 30,
+    #     # num_classes = 5,
+    #     # dim = 256,
+    #     # depth = 4,
+    #     # heads = 6,
+    #     # mlp_dim = 256,
+    #     # pool = 'cls', 
+    #     # channels = 3, 
+    #     # dim_head = 6,
+    #     # dropout = 0.1,
+    #     # emb_dropout = 0.1
+    # )
+
 
     return model