fixed number of inputs

model/src/models/fully_connected.py

@@ -1,14 +1,13 @@
-from __future__ import annotations
-
 import torch.nn as nn
 
 
 class FullyConnectedModel(nn.Module):
+    """Fully connected layers model template for intrepreting feature space-
+    output from ResNet18 head."""
+
     def __init__(self, num_out_features: int):
         super().__init__()
         # define layers
-        self.fc1 = nn.Linear(in_features=16*16*512, out_features=512)
-        self.af1 = nn.ReLU()
         self.fc2 = nn.Linear(in_features=512, out_features=128)
         self.af2 = nn.ReLU()
         self.fc3 = nn.Linear(in_features=128, out_features=32)
@@ -16,6 +15,7 @@ class FullyConnectedModel(nn.Module):
         self.fc4 = nn.Linear(in_features=32, out_features=num_out_features)
 
     def forward(self, x):
+        """Pass input through model."""
         x = self.fc1(x)
         x = self.af1(x)
         x = self.fc2(x)