update

finetrainers/utils/torch_utils.py

@@ -1,3 +1,6 @@
+from typing import Dict, Optional, Union
+
+import torch
 from accelerate import Accelerator
 from diffusers.utils.torch_utils import is_compiled_module
 
@@ -6,3 +9,21 @@ def unwrap_model(accelerator: Accelerator, model):
     model = accelerator.unwrap_model(model)
     model = model._orig_mod if is_compiled_module(model) else model
     return model
+
+
+def align_device_and_dtype(
+    x: Union[torch.Tensor, Dict[str, torch.Tensor]],
+    device: Optional[torch.device] = None,
+    dtype: Optional[torch.dtype] = None,
+):
+    if isinstance(x, torch.Tensor):
+        if device is not None:
+            x = x.to(device)
+        if dtype is not None:
+            x = x.to(dtype)
+    elif isinstance(x, dict):
+        if device is not None:
+            x = {k: align_device_and_dtype(v, device, dtype) for k, v in x.items()}
+        if dtype is not None:
+            x = {k: align_device_and_dtype(v, device, dtype) for k, v in x.items()}
+    return x