code: def local_response_norm(input, size, alpha=0.0001, beta=0.75, k=1.0):
      non_batched = input.ndim == 3
      if non_batched:
          input = ivy.expand_dims(input, axis=2)
      ret = ivy.local_response_norm(
          input,
          size,
          bias=k,
          alpha=alpha,
          beta=beta,
          average=True,
          data_format="NCHW",
      )
      if non_batched:
          ret = ivy.squeeze(ret, axis=2)
      return ret
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 15 for calling a global function with example usage: local_response_norm(input, size, alpha, beta, k) and returns: ret