Upload ltx_server.py

api/ltx_server.py

@@ -65,7 +65,7 @@ def _query_gpu_processes_via_nvidiasmi(device_index: int) -> List[Dict]:
         parts = [p.strip() for p in line.split(",")]
         if len(parts) >= 3:
             try:
-                pid = int(parts[^23_0]); name = parts[^23_1]; used_mb = int(parts[^23_2])
+                pid = int(parts[0]); name = parts[_1]; used_mb = int(parts[_2])
                 user = "unknown"
                 try:
                     import psutil
@@ -373,7 +373,7 @@ class VideoService:
                 img_bchw = self.pipeline.vae.decode(latent_chw.unsqueeze(0))
             else:
                 raise RuntimeError("Nenhum decoder (decode_latents/vae.decode) disponível.")
-        img_chw = img_bchw[^23_0]
+        img_chw = img_bchw[0]
         if img_chw.min() < 0:
             img_chw = (img_chw.clamp(-1, 1) + 1.0) / 2.0
         else:
@@ -385,7 +385,7 @@ class VideoService:
         Converte (C,H,W) float [0,1] em (H,W,C) uint8 com crop do padding.
         """
         pad_left, pad_right, pad_top, pad_bottom = padding_values
-        H, W = pixel_chw.shape[^23_1], pixel_chw.shape[^23_2]
+        H, W = pixel_chw.shape[1], pixel_chw.shape[2]
         h_end = H - pad_bottom if pad_bottom > 0 else H
         w_end = W - pad_right if pad_right > 0 else W
         pixel_chw = pixel_chw[:, pad_top:h_end, pad_left:w_end]
@@ -401,7 +401,7 @@ class VideoService:
         """
         Latentes (B,C,T,H,W) → decodifica quadro a quadro → escreve MP4 incremental.
         """
-        T = latents.shape[^23_2]
+        T = latents.shape[2]
         print(f"[DEBUG] encode_latents_to_mp4: frames={T} out={output_path}")
         with imageio.get_writer(output_path, fps=fps, codec="libx264", quality=8) as writer:
             for i in range(T):