diff --git a/tests/test_layers.py b/tests/test_layers.py
index 427f65b..c5eb82c 100644
--- a/tests/test_layers.py
+++ b/tests/test_layers.py
@@ -2,6 +2,7 @@
 from metnet.layers.SqueezeExcitation import SqueezeExcite
 from metnet.layers.MBConv import MBConv
 from metnet.layers.MultiheadSelfAttention2D import MultiheadSelfAttention2D
+from metnet.layers.PartitionAttention import BlockAttention, GridAttention
 import torch
 
 
@@ -38,16 +39,17 @@ def test_multiheaded_self_attention_2D():
     assert test_tensor.shape == rel_self_attention(test_tensor).shape
 
 
-# def test_block_attention():
-#     n, c, h, w = 1, 3, 16, 16
-#     test_tensor = torch.rand(n, c, h, w)
-#     block_attention = BlockAttention(c)
+def test_block_attention():
+    n, c, h, w = 1, 3, 16, 16
+    test_tensor = torch.rand(n, c, h, w)
+    block_attention = BlockAttention(c)
+
+    assert test_tensor.shape == block_attention(test_tensor).shape
 
-#     assert test_tensor.shape == block_attention(test_tensor).shape
 
-# def test_grid_attention():
-#     n, c, h, w = 1, 3, 16, 16
-#     test_tensor = torch.rand(n, c, h, w)
-#     grid_attention = GridAttention(c)
+def test_grid_attention():
+    n, c, h, w = 1, 3, 16, 16
+    test_tensor = torch.rand(n, c, h, w)
+    grid_attention = GridAttention(c)
 
-#     assert test_tensor.shape == grid_attention(test_tensor).shape
+    assert test_tensor.shape == grid_attention(test_tensor).shape