code: def make_blob(data, math_engine):
      """Wraps numpy data into neoml blob"""
      shape = data.shape
      if len(shape) == 4:  # data
          # Wrap 4-D array into (BatchWidth, Height, Width, Channels) blob
          blob_shape = (1, shape[0], 1, shape[1], shape[2], 1, shape[3])
          return neoml.Blob.asblob(math_engine, data, blob_shape)
      elif len(shape) == 1:  # dense labels
          # Wrap 1-D array into blob of (BatchWidth,) shape
          return neoml.Blob.asblob(
              math_engine, data, (1, shape[0], 1, 1, 1, 1, 1)
          )
      else:
          assert False
  
file_path: neoml/NeoML/samples/python/cifar10.py
imports: import neoml
  import numpy
  import os
  import time
  import tarfile
label_desc: Use image node_id 4 for calling a global function with example usage: make_blob(data, math_engine) and returns: neoml, neoml