docstr: Sets random seed and criterion.
code: def __init__(
      self,
      *,
      random_seed: Optional[int] = None,
      criterion: Callable = F.cross_entropy,
  ) -> None:
      """Sets random seed and criterion."""
      if random_seed is not None:
          torch.manual_seed(random_seed)
      self._criterion = criterion
  
imports: from enum import Enum
  from typing import Callable, Dict, Optional, Tuple, Type, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from opacus.grad_sample import GradSampleModule
  from opacus.grad_sample.utils import wrap_model
  from opacus.layers import DPGRU, DPLSTM, DPRNN, DPMultiheadAttention
  from opacus.layers.dp_rnn import DPRNNBase
label_desc: Use image node_id 1 to create a new Layer object  with example: obj = Layer()