Update inference_lora.py

inference_lora.py

@@ -51,24 +51,11 @@ from safetensors.torch import load_file
 from diffsynth.pipelines.wan_video import WanVideoPipeline
 from diffsynth.core import ModelConfig
 from diffsynth.models.wan_video_dit import TemporalAttentionAdapter, FramewiseCrossAttention
+_MT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "examples", "wanvideo", "model_training")
+if _MT_DIR not in sys.path:
+    sys.path.insert(0, _MT_DIR)
 
-
-# ============================================================================
-# ActionFFNEncoder (must match training definition)
-# ============================================================================
-
-
-class ActionFFNEncoder(nn.Module):
-    def __init__(self, action_dim: int, embed_dim: int, num_layers: int = 2):
-        super().__init__()
-        layers: list[nn.Module] = [nn.Linear(action_dim, embed_dim), nn.GELU()]
-        for _ in range(max(0, num_layers - 2)):
-            layers += [nn.Linear(embed_dim, embed_dim), nn.GELU()]
-        self.mlp = nn.Sequential(*layers)
-        self.norm = nn.LayerNorm(embed_dim)
-
-    def forward(self, actions: torch.Tensor) -> torch.Tensor:
-        return self.norm(self.mlp(actions))
+from train_acwm import ActionFFNEncoder
 
 
 # ============================================================================