code: def make_single_vector(parameters):
      with tf.name_scope("parameters-vector"):
          return tf.concat(
              [flatten(param) for param in parameters], axis=0
          )
  
file_path: neupy/neupy/utils/tf_utils.py
imports: from functools import wraps
  import numpy
  import tensorflow
  from neupy.utils.misc import as_tuple
  from neupy.utils.processing import asfloat
label_desc: Use image node_id 11 for calling a global function with example usage: make_single_vector(parameters) and returns: tf