removes unused GoogleNet

mfai/torch/models/encoders.py

@@ -221,36 +221,3 @@ def forward(self, x: torch.Tensor):
         y_hat = self.fc(y_hat)
         return y_hat
 
-
-@dataclass_json
-@dataclass(slots=True)
-class GoogleNetSettings:
-    encoder_weights: bool = None
-
-
-class GoogleNet(torch.nn.Module):
-    settings_kls = GoogleNetSettings
-
-    def __init__(
-        self,
-        num_channels: int = 3,
-        num_classes: int = 1000,
-        input_shape: Union[None, Tuple[int, int]] = None,
-        settings: GoogleNetSettings = GoogleNetSettings(),
-    ):
-        super().__init__()
-        self.googlenet = models.googlenet(weights=settings.encoder_weights)
-
-        # Modification to allow inputs with more than 3 channels
-        self.googlenet.conv1 = nn.Conv2d(
-            num_channels, 64, kernel_size=7, stride=2, padding=3, bias=False
-        )
-
-        in_features = self.googlenet.fc.in_features
-        self.googlenet.fc = nn.Linear(in_features, num_classes)
-
-    def forward(self, x: torch.Tensor):
-        y_hat = self.googlenet(x)
-        if isinstance(y_hat, models.GoogLeNetOutputs):
-            y_hat = y_hat.logits
-        return y_hat