code: def icfo_to_ifco(w, b):
      """Convert gates' weights and biases from ICFO to IFCO layout."""
      w_i, w_c, w_f, w_o = array_ops.split(
          w, num_or_size_splits=4, axis=1
      )
      b_i, b_c, b_f, b_o = array_ops.split(b, num_or_size_splits=4)
      w_ifco = array_ops.concat([w_i, w_f, w_c, w_o], axis=1)
      b_ifco = array_ops.concat([b_i, b_f, b_c, b_o], axis=0)
      return w_ifco, b_ifco
  
file_path: tensorflow-upstream/tensorflow/python/ops/rnn_grad_test.py
imports: import functools
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_rnn_ops
  from tensorflow.python.ops import gradients
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import rnn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling a global function with example usage: icfo_to_ifco(w, b) and returns: w_ifco,  b_ifco