code: def test_invalid_num_bits(self):
      input_value = (
          constant_op.constant(
              [-0.8, -0.5, 0, 0.3, 0.8, -2.0],
              shape=(6,),
              dtype=dtypes.float32,
          ),
      )
      input_min = constant_op.constant(
          -127, shape=(), dtype=dtypes.float32
      )
      input_max = constant_op.constant(
          127, shape=(), dtype=dtypes.float32
      )
      # Tensor with invalid shape and invalid number of elements.
      num_bits = constant_op.constant(
          [], shape=(0,), dtype=dtypes.int32
      )
  
      # Test that running the op raises error. It raises different errors
      # depending on whether the shape inference is run first or the op's
      # Compute() is run first.
      try:
          array_ops.quantize_and_dequantize_v3(
              input_value,
              input_min,
              input_max,
              num_bits,
              signed_input=True,
          )
      except Exception as ex:  # pylint: disable=broad-except
          if isinstance(ex, errors.InvalidArgumentError):
              self.assertRegex(
                  str(ex), "The `num_bits` tensor should be a scalar."
              )
          elif isinstance(ex, ValueError):
              self.assertRegex(str(ex), "Shape must be rank 0")
          else:
              self.fail(
                  "Raised exception other than expected: %s. "
                  "Expected exceptions are errors.InvalidArgumentError or ValueError"
                  % ex.__name__
              )
      else:
          self.fail(
              "Did not raise an exception where it is expected to raise either "
              "a ValueError or errors.InvalidArgumentError."
          )
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the QuantizeAndDequantizeV3OpTest obj's underlying member method code with example usage: obj.test_invalid_num_bits() without return types