code: def _elementwise_clip(x, x_min, x_max):
      """Elementwise clipping
  
      Note: torch.clamp supports clipping to constant intervals
      """
      return torch.min(torch.max(x, x_min), x_max)
  
imports: import collections
  import itertools
  import random
  import numpy
  import torch
  import torch.nn.functional
  import pfrl
  from pfrl import agent
  from pfrl.utils.batch_states import batch_states
  from pfrl.utils.mode_of_distribution import mode_of_distribution
  from pfrl.utils.recurrent import concatenate_recurrent_states, flatten_sequences_time_first, get_recurrent_state_at, mask_recurrent_state_at, one_step_forward, pack_and_forward
label_desc: Use image node_id 2 for calling a global function with example usage: _elementwise_clip(x, x_min, x_max) and returns: torch