[NPU]:Replace 'cuda' in the project with abstract interfaces

diffsynth/core/__init__.py

@@ -4,4 +4,3 @@ from .gradient import *
 from .loader import *
 from .vram import *
 from .device import *
-from .npu_patch import *

diffsynth/core/npu_patch/__init__.py

@@ -1,5 +0,0 @@
-from diffsynth.core.device.npu_compatible_device import IS_NPU_AVAILABLE
-from .npu_autocast_patch import npu_autocast_patch
-
-if IS_NPU_AVAILABLE:
-    npu_autocast_patch()

diffsynth/core/npu_patch/npu_autocast_patch.py

@@ -1,21 +0,0 @@
-import torch
-from contextlib import contextmanager
-
-
-def npu_autocast_patch_wrapper(func):
-    @contextmanager
-    def wrapper(*args, **kwargs):
-        flag = False
-        if "npu" in args or ("device_type" in kwargs and kwargs["device_type"] == "npu"):
-            if torch.float32 in args or ("dtype" in kwargs and kwargs["dtype"] == torch.float32):
-                flag = True
-        with func(*args, **kwargs) as ctx:
-            if flag:
-                torch.npu.set_autocast_enabled(True)
-            yield ctx
-    return wrapper
-
-
-def npu_autocast_patch():
-    torch.amp.autocast = npu_autocast_patch_wrapper(torch.amp.autocast)
-    torch.autocast = npu_autocast_patch_wrapper(torch.autocast)