code: def pad_and_reshape(instr_spec, frame_length, F) -> Any:
      spec_shape = tf.shape(instr_spec)
      extension_row = tf.zeros(
          (spec_shape[0], spec_shape[1], 1, spec_shape[-1])
      )
      n_extra_row = (frame_length) // 2 + 1 - F
      extension = tf.tile(extension_row, [1, 1, n_extra_row, 1])
      extended_spec = tf.concat([instr_spec, extension], axis=2)
      old_shape = tf.shape(extended_spec)
      new_shape = tf.concat(
          [[old_shape[0] * old_shape[1]], old_shape[2:]], axis=0
      )
      processed_instr_spec = tf.reshape(extended_spec, new_shape)
      return processed_instr_spec
  
file_path: spleeter/spleeter/utils/tensor.py
imports: from typing import Any, Callable, Dict
  import pandas
  import tensorflow
label_desc: Use image node_id 5 for calling a global function with example usage: pad_and_reshape(instr_spec, frame_length, F) and returns: processed_instr_spec