add sofia models

src/models/asymmetric_encoder.py

@@ -462,6 +462,7 @@ class AsymmetricEncoder(nn.Module):
         caption_l1: list[str] | None = None,
         caption_l2: list[str] | None = None,
         caption_l3: list[str] | None = None,
+        altitude: torch.Tensor | None = None,    # noqa: ARG002 — accepted for API parity with SOFIAFusionEncoder
     ) -> torch.Tensor:
         """Encode drone → normalized query embedding with per-sample text mask."""
         drone_feat = self.encode_drone(drone_img)
@@ -492,6 +493,7 @@ class AsymmetricEncoder(nn.Module):
         sat_caption_l1: list[str] | None = None,
         sat_caption_l2: list[str] | None = None,
         sat_caption_l3: list[str] | None = None,
+        altitude: torch.Tensor | None = None,    # noqa: ARG002 — accepted for API parity with SOFIAFusionEncoder
     ) -> dict[str, torch.Tensor]:
         """Forward pass.