code: def testAstype(self):
      a = ops.convert_to_tensor(value=1.1, dtype=dtypes.float32).astype(
          np.int32
      )
      self.assertIs(a.dtype.as_numpy_dtype, np.int32)
      self.assertAllEqual(1, a)
      a = ops.convert_to_tensor(
          value=[0.0, 1.1], dtype=dtypes.float32
      ).astype(np.bool_)
      self.assertIs(a.dtype.as_numpy_dtype, np.bool_)
      self.assertAllEqual([False, True], a)
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the ArrayTest obj's underlying member method code with example usage: obj.testAstype() without return types