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fixed definition of layers

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Brian Bjarke Jensen
2024-07-28 21:36:21 +02:00
parent 849b59e575
commit 9f4a09a18c
1 changed files with 5 additions and 7 deletions
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model/src/models/fully_connected.py
+5 -7
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@@ -1,4 +1,4 @@
import torch.nn as nn
from torch import nn
class FullyConnectedModel(nn.Module):
@@ -8,11 +8,11 @@ class FullyConnectedModel(nn.Module):
def __init__(self, num_out_features: int):
super().__init__()
# define layers
self.fc2 = nn.Linear(in_features=512, out_features=128)
self.fc1 = nn.Linear(in_features=512, out_features=128)
self.af1 = nn.ReLU()
self.fc2 = nn.Linear(in_features=128, out_features=32)
self.af2 = nn.ReLU()
self.fc3 = nn.Linear(in_features=128, out_features=32)
self.af3 = nn.ReLU()
self.fc4 = nn.Linear(in_features=32, out_features=num_out_features)
self.fc3 = nn.Linear(in_features=32, out_features=num_out_features)
def forward(self, x):
"""Pass input through model."""
@@ -21,6 +21,4 @@ class FullyConnectedModel(nn.Module):
x = self.fc2(x)
x = self.af2(x)
x = self.fc3(x)
x = self.af3(x)
x = self.fc4(x)
return x