class_docstr: Same as `loss_cls`, but flattens input and target.
docstr: Move the loss function to a specified `device`
docstr_tok: ["Move","the","loss","function","to","a","specified","`","device","`"]
code: def to(self, device: torch.device):
      "Move the loss function to a specified `device`"
      if isinstance(self.func, nn.Module):
          self.func.to(device)
  
imports: from __future__ import annotations
  from .imports import *
  from .torch_imports import *
  from .torch_core import *
  from .layers import *
label_desc: Use image node_id 7 for calling the BaseLoss obj's underlying member method code with example usage: obj.to(device) without return types