code: def convert_conv2d_coreml_to_tf(conv_weights):
      """
      The Convolutional weights in CoreML specification converted to
      the TensorFlow format for training in TensorFlow.
  
      Parameters
      ----------
      conv_weights: 4d numpy array of shape
         [output_channels, input_channels, filter_height, filter_width]
  
      Returns
      -------
      return: 4d numpy array of shape
         [filter_height, filter_width, input_channels, output_channels]
  
      """
      conv_weights = np.transpose(conv_weights, (2, 3, 1, 0))
      return conv_weights
  
file_path: turicreate/src/python/turicreate/toolkits/_tf_utils.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import numpy
  from turicreate._deps.minimal_package import _minimal_package_import_check
label_desc: Use image node_id 5 for calling a global function with example usage: convert_conv2d_coreml_to_tf(conv_weights) and returns: conv_weights