code: def trans_1d_2d(x):
      b, w_h, c = x.shape  # b, 256, 512
      x = paddle.transpose(x, perm=[0, 2, 1])
      x = paddle.reshape(x, [-1, c, 32, 8])
      x = paddle.transpose(x, perm=[0, 1, 3, 2])  # [b, c, 8, 32]
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import Normal, XavierNormal
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: trans_1d_2d(x) and returns: x