code: def _format_weights_for_gpu(weights, biases, shape):
      weights = [tf.reshape(tf.transpose(x), shape) for x in weights]
      biases = [tf.reshape(x, shape) for x in biases]
      return tf.concat(weights + biases, axis=0)
  
imports: from typing import Optional, Tuple, Union, Sequence
  import tensorflow
  from tensorflow.python.types.core import Tensor
  import ivy
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
  from .None import backend_version
  from ivy.functional.ivy.layers import _deconv_length, _get_x_data_format
label_desc: Use image node_id 17 for calling a global function with example usage: _format_weights_for_gpu(weights, biases, shape) and returns: tf