sync from GitHub (3150c97)

audio/aasist3/api.py

@@ -84,7 +84,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -175,7 +175,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

audio/nes2net/api.py

@@ -97,7 +97,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -198,7 +198,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

audio/safeear/api.py

@@ -81,7 +81,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -234,7 +234,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

audio/shiftyspeech/api.py

@@ -97,7 +97,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -197,7 +197,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

audio/sonics/app.py

@@ -78,7 +78,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -165,7 +165,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/aide/app.py

@@ -91,7 +91,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -321,7 +321,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/cospy/app.py

@@ -114,7 +114,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -332,7 +332,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/effort/app.py

@@ -115,7 +115,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -382,7 +382,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/fsd/app.py

@@ -84,7 +84,7 @@ if DEVICE == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -255,7 +255,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/npr/app.py

@@ -113,7 +113,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -311,7 +311,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/universal/app.py

@@ -75,7 +75,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -352,7 +352,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

image/yermandy/app.py

@@ -154,7 +154,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -326,7 +326,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

provenance/audioseal/app.py

@@ -81,7 +81,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -227,7 +227,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

provenance/videoseal/app.py

@@ -86,7 +86,7 @@ if DEVICE.type == "cuda":
     logger.info(
         "Device: cuda (%s, %.1f GB VRAM)",
         torch.cuda.get_device_name(0),
-        torch.cuda.get_device_properties(0).total_mem / 1024**3,
+        torch.cuda.get_device_properties(0).total_memory / 1024**3,
     )
 else:
     logger.warning(
@@ -363,7 +363,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/fake-stormer/app.py

@@ -93,7 +93,7 @@ def _load_models():
         logger.info(
             "Device: cuda (%s, %.1f GB VRAM)",
             torch.cuda.get_device_name(0),
-            torch.cuda.get_device_properties(0).total_mem / 1024**3,
+            torch.cuda.get_device_properties(0).total_memory / 1024**3,
         )
     else:
         logger.warning(
@@ -181,7 +181,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/lipfd/app.py

@@ -116,7 +116,7 @@ def _load_models() -> None:
             logger.info(
                 "Device: cuda (%s, %.1f GB VRAM)",
                 torch.cuda.get_device_name(0),
-                torch.cuda.get_device_properties(0).total_mem / 1024**3,
+                torch.cuda.get_device_properties(0).total_memory / 1024**3,
             )
         else:
             logger.warning(
@@ -221,7 +221,7 @@ def _gpu_health_info() -> dict:
                 torch.cuda.memory_allocated(0) / 1024**2
             ),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/mintime/app.py

@@ -205,7 +205,7 @@ def _load_models() -> None:
             logger.info(
                 "Device: cuda (%s, %.1f GB VRAM)",
                 torch.cuda.get_device_name(0),
-                torch.cuda.get_device_properties(0).total_mem / 1024**3,
+                torch.cuda.get_device_properties(0).total_memory / 1024**3,
             )
         else:
             logger.warning(
@@ -319,7 +319,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/pwtf-dvd/app.py

@@ -128,7 +128,7 @@ def _load_models() -> None:
             logger.info(
                 "Device: cuda (%s, %.1f GB VRAM)",
                 torch.cuda.get_device_name(0),
-                torch.cuda.get_device_properties(0).total_mem / 1024**3,
+                torch.cuda.get_device_properties(0).total_memory / 1024**3,
             )
         else:
             logger.warning(
@@ -243,7 +243,7 @@ def _gpu_health_info() -> dict:
                 torch.cuda.memory_allocated(0) / 1024**2
             ),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/recce/app.py

@@ -130,7 +130,7 @@ def _load_models() -> None:
             logger.info(
                 "Device: cuda (%s, %.1f GB VRAM)",
                 torch.cuda.get_device_name(0),
-                torch.cuda.get_device_properties(0).total_mem / 1024**3,
+                torch.cuda.get_device_properties(0).total_memory / 1024**3,
             )
         else:
             logger.warning(
@@ -247,7 +247,7 @@ def _gpu_health_info() -> dict:
                 torch.cuda.memory_allocated(0) / 1024**2
             ),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}

video/sbi/app.py

@@ -118,7 +118,7 @@ def _load_models() -> None:
             logger.info(
                 "Device: cuda (%s, %.1f GB VRAM)",
                 torch.cuda.get_device_name(0),
-                torch.cuda.get_device_properties(0).total_mem / 1024**3,
+                torch.cuda.get_device_properties(0).total_memory / 1024**3,
             )
         else:
             logger.warning(
@@ -211,7 +211,7 @@ def _gpu_health_info() -> dict:
             "gpu_name": torch.cuda.get_device_name(0),
             "vram_used_mb": round(torch.cuda.memory_allocated(0) / 1024**2),
             "vram_total_mb": round(
-                torch.cuda.get_device_properties(0).total_mem / 1024**2
+                torch.cuda.get_device_properties(0).total_memory / 1024**2
             ),
         }
     return {}