class_docstr: Wraps a NumPy array for storage in an object-based checkpoint.
docstr: Callback to deserialize the array.
docstr_tok: ["Callback","to","deserialize","the","array","."]
code: def deserialize(self, string_value):
      """Callback to deserialize the array."""
      string_file = io.BytesIO(string_value)
      try:
          self.array = np.load(string_file, allow_pickle=False)
      finally:
          string_file.close()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import io
  import numpy
  import tensorflow
  from tf_agents.specs import array_spec
  from tensorflow.python.trackable import base
  from tensorflow.python.trackable import data_structures
label_desc: Use image node_id 3 for calling the _NumpyWrapper obj's underlying member method code with example usage: obj.deserialize(string_value) without return types