code: def forward(self, net: Tensor, batch: tensor_dict_type) -> Tensor:
      if self.cond_padding is not None:
          net = self.cond_padding(net, batch[LABEL_KEY].view(-1))
      net = self.siren(net)
      return self.head(net)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from typing import Tuple
  from typing import Union
  from typing import Callable
  from typing import Optional
  from cftool.types import tensor_dict_type
  from ...constants import LABEL_KEY
  from ...misc.toolkit import insert_intermediate_dims
  from ...modules.blocks import Lambda
  from ...modules.blocks import Activation
  from ...modules.blocks import ChannelPadding
label_desc: Use image node_id 2 for calling the ImgSiren obj's underlying member method code with example usage: obj.forward(net, batch) and returns: self