code: def rehash_fairseq_vits_checkpoint(checkpoint_file):
      chk = torch.load(
          checkpoint_file, map_location=torch.device("cpu")
      )["model"]
      new_chk = {}
      for k, v in chk.items():
          if "enc_p." in k:
              new_chk[k.replace("enc_p.", "text_encoder.")] = v
          elif "dec." in k:
              new_chk[k.replace("dec.", "waveform_decoder.")] = v
          elif "enc_q." in k:
              new_chk[k.replace("enc_q.", "posterior_encoder.")] = v
          elif "flow.flows.2." in k:
              new_chk[k.replace("flow.flows.2.", "flow.flows.1.")] = v
          elif "flow.flows.4." in k:
              new_chk[k.replace("flow.flows.4.", "flow.flows.2.")] = v
          elif "flow.flows.6." in k:
              new_chk[k.replace("flow.flows.6.", "flow.flows.3.")] = v
          elif "dp.flows.0.m" in k:
              new_chk[
                  k.replace(
                      "dp.flows.0.m",
                      "duration_predictor.flows.0.translation",
                  )
              ] = v
          elif "dp.flows.0.logs" in k:
              new_chk[
                  k.replace(
                      "dp.flows.0.logs",
                      "duration_predictor.flows.0.log_scale",
                  )
              ] = v
          elif "dp.flows.1" in k:
              new_chk[
                  k.replace("dp.flows.1", "duration_predictor.flows.1")
              ] = v
          elif "dp.flows.3" in k:
              new_chk[
                  k.replace("dp.flows.3", "duration_predictor.flows.2")
              ] = v
          elif "dp.flows.5" in k:
              new_chk[
                  k.replace("dp.flows.5", "duration_predictor.flows.3")
              ] = v
          elif "dp.flows.7" in k:
              new_chk[
                  k.replace("dp.flows.7", "duration_predictor.flows.4")
              ] = v
          elif "dp.post_flows.0.m" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.0.m",
                      "duration_predictor.post_flows.0.translation",
                  )
              ] = v
          elif "dp.post_flows.0.logs" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.0.logs",
                      "duration_predictor.post_flows.0.log_scale",
                  )
              ] = v
          elif "dp.post_flows.1" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.1",
                      "duration_predictor.post_flows.1",
                  )
              ] = v
          elif "dp.post_flows.3" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.3",
                      "duration_predictor.post_flows.2",
                  )
              ] = v
          elif "dp.post_flows.5" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.5",
                      "duration_predictor.post_flows.3",
                  )
              ] = v
          elif "dp.post_flows.7" in k:
              new_chk[
                  k.replace(
                      "dp.post_flows.7",
                      "duration_predictor.post_flows.4",
                  )
              ] = v
          elif "dp." in k:
              new_chk[k.replace("dp.", "duration_predictor.")] = v
          else:
              new_chk[k] = v
      return new_chk
  
label_desc: Use image node_id 1 for calling a global function with example usage: rehash_fairseq_vits_checkpoint(checkpoint_file) and returns: new_chk