class_docstr: IntTensorGenerator generates tf.Tensor with dtype in tf.int32 or tf.int64
code: def generate(self):
      dtype = self.spec.dtype
      info = np.iinfo(dtype.as_numpy_dtype)
      shape = self.spec.shape.as_list()
      values = np.random.randint(
          low=info.min,
          high=info.max,
          size=shape,
          dtype=dtype.as_numpy_dtype,
      )
      return tf.convert_to_tensor(
          values, dtype=dtype, name=self.spec.name
      )
  
imports: import hashlib
  import numpy
  import tensorflow
  from tests.test_atds_avro.utils.generator.generator_base import Generator
  from tests.test_atds_avro.utils.hash_util import int_to_bytes
label_desc: Use image node_id 2 for calling the IntTensorGenerator obj's underlying member method code with example usage: obj.generate() and returns: tf