Delete cuda_malloc.py

cuda_malloc.py

@@ -1,90 +0,0 @@
-import os
-import importlib.util
-from comfy.cli_args import args
-import subprocess
-
-#Can't use pytorch to get the GPU names because the cuda malloc has to be set before the first import.
-def get_gpu_names():
-    if os.name == 'nt':
-        import ctypes
-
-        # Define necessary C structures and types
-        class DISPLAY_DEVICEA(ctypes.Structure):
-            _fields_ = [
-                ('cb', ctypes.c_ulong),
-                ('DeviceName', ctypes.c_char * 32),
-                ('DeviceString', ctypes.c_char * 128),
-                ('StateFlags', ctypes.c_ulong),
-                ('DeviceID', ctypes.c_char * 128),
-                ('DeviceKey', ctypes.c_char * 128)
-            ]
-
-        # Load user32.dll
-        user32 = ctypes.windll.user32
-
-        # Call EnumDisplayDevicesA
-        def enum_display_devices():
-            device_info = DISPLAY_DEVICEA()
-            device_info.cb = ctypes.sizeof(device_info)
-            device_index = 0
-            gpu_names = set()
-
-            while user32.EnumDisplayDevicesA(None, device_index, ctypes.byref(device_info), 0):
-                device_index += 1
-                gpu_names.add(device_info.DeviceString.decode('utf-8'))
-            return gpu_names
-        return enum_display_devices()
-    else:
-        gpu_names = set()
-        out = subprocess.check_output(['nvidia-smi', '-L'])
-        for l in out.split(b'\n'):
-            if len(l) > 0:
-                gpu_names.add(l.decode('utf-8').split(' (UUID')[0])
-        return gpu_names
-
-blacklist = {"GeForce GTX TITAN X", "GeForce GTX 980", "GeForce GTX 970", "GeForce GTX 960", "GeForce GTX 950", "GeForce 945M",
-                "GeForce 940M", "GeForce 930M", "GeForce 920M", "GeForce 910M", "GeForce GTX 750", "GeForce GTX 745", "Quadro K620",
-                "Quadro K1200", "Quadro K2200", "Quadro M500", "Quadro M520", "Quadro M600", "Quadro M620", "Quadro M1000",
-                "Quadro M1200", "Quadro M2000", "Quadro M2200", "Quadro M3000", "Quadro M4000", "Quadro M5000", "Quadro M5500", "Quadro M6000",
-                "GeForce MX110", "GeForce MX130", "GeForce 830M", "GeForce 840M", "GeForce GTX 850M", "GeForce GTX 860M",
-                "GeForce GTX 1650", "GeForce GTX 1630", "Tesla M4", "Tesla M6", "Tesla M10", "Tesla M40", "Tesla M60"
-                }
-
-def cuda_malloc_supported():
-    try:
-        names = get_gpu_names()
-    except:
-        names = set()
-    for x in names:
-        if "NVIDIA" in x:
-            for b in blacklist:
-                if b in x:
-                    return False
-    return True
-
-
-if not args.cuda_malloc:
-    try:
-        version = ""
-        torch_spec = importlib.util.find_spec("torch")
-        for folder in torch_spec.submodule_search_locations:
-            ver_file = os.path.join(folder, "version.py")
-            if os.path.isfile(ver_file):
-                spec = importlib.util.spec_from_file_location("torch_version_import", ver_file)
-                module = importlib.util.module_from_spec(spec)
-                spec.loader.exec_module(module)
-                version = module.__version__
-        if int(version[0]) >= 2: #enable by default for torch version 2.0 and up
-            args.cuda_malloc = cuda_malloc_supported()
-    except:
-        pass
-
-
-if args.cuda_malloc and not args.disable_cuda_malloc:
-    env_var = os.environ.get('PYTORCH_CUDA_ALLOC_CONF', None)
-    if env_var is None:
-        env_var = "backend:cudaMallocAsync"
-    else:
-        env_var += ",backend:cudaMallocAsync"
-
-    os.environ['PYTORCH_CUDA_ALLOC_CONF'] = env_var