add sofia models

conf/gtauav_balanced_sofia_v1.gin

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+# GTA-UAV Balanced (SOFIA v1 backbone): StripNet+DCNv4 hierarchical CNN
+# (~3-30M params depending on variant) trained from scratch с двухуровневой
+# text fusion:
+#   1. Mid-level: Text-FiLM в SAT и UAV heads (модулирует [B,C,8,8] перед GGeM).
+#   2. Late-level: GatedFusion на дескрипторах.
+#
+# UAV head: AltitudeFiLM(drone_height) + [TextFiLM] + GGeM + BN + Linear.
+# SAT head: [TextFiLM] + GGeM + BN + Linear.
+# Один backbone shared между sat/uav.
+#
+# Variant -> размер модели:
+#   tiny_tiny: dims [16, 32, 80, 128]   (~0.4M)
+#   tiny     : dims [32, 64, 128, 256]  (~1M)
+#   small    : dims [64, 128, 320, 512] (~3M, default)
+#   small_v2 : dims [64, 128, 256, 384] (~2M)
+#
+# Trainable (с small variant + text fusion):
+#   - SOFIA v1 backbone (~3M) + heads (~0.6M)
+#   - DGTRS-CLIP LoRA (rank=4, ~147K)
+#   - TextFusionMLP (3*768 -> 1024 -> 1024, ~3.4M, shared)
+#   - Gates α_q, α_g + learnable τ
+# Total trainable ~7M.
+#
+# Note: DCNv4 требует CUDA — обучение только на GPU. Не работает на CPU.
+
+include 'conf/gtauav_balanced.gin'
+
+# ---- Backbone ----
+TrainConfigGTAUAV.backbone = "sofia_v1"
+TrainConfigGTAUAV.sofia_v1_variant = "tiny"
+TrainConfigGTAUAV.sofia_v1_d_descriptor = 1024
+TrainConfigGTAUAV.sofia_v1_use_text_film_uav = True
+TrainConfigGTAUAV.sofia_v1_use_text_film_sat = True
+TrainConfigGTAUAV.sofia_v1_use_film_altitude = True
+TrainConfigGTAUAV.sofia_v1_lora_rank = 4
+
+# ---- Training overrides ----
+TrainConfigGTAUAV.gradient_checkpointing = False  # SOFIA v1 from-scratch
+TrainConfigGTAUAV.shared_encoder = True
+
+# ---- Output ----
+TrainConfigGTAUAV.output_dir = "out/gtauav/with_text_sofia_v1"