code: def duplicate_interleave(m):
      """
      A simple version of `torch.repeat_interleave` for duplicating a matrix while interleaving the copy.
      """
      dim0 = m.shape[0]
      m = m.view(-1, 1)  # flatten the matrix
      m = m.repeat(1, 2)  # repeat all elements into the 2nd dimension
      m = m.view(
          dim0, -1
      )  # reshape into a matrix, interleaving the copy
      return m
  
imports: from typing import Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
  from ...activations import ACT2FN
  from ...modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, QuestionAnsweringModelOutput, SequenceClassifierOutputWithPast
  from ...modeling_utils import PreTrainedModel
  from ...utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, logging
  from ...utils.model_parallel_utils import assert_device_map, get_device_map
  from .configuration_gptj import GPTJConfig
label_desc: Use image node_id 3 for calling a global function with example usage: duplicate_interleave(m) and returns: m