code: def testFloatTypes(self):
      for t in [
          np.float16,
          np.float32,
          np.float64,
          dtypes.bfloat16.as_numpy_dtype,
      ]:
          self._testAll(
              np.random.rand(2, 5).astype(t), [[1, 0], [2, 0]], 0.0
          )
          self._testAll(
              np.random.rand(2, 3, 4).astype(t),
              [[0, 0], [0, 0], [0, 0]],
              -12.34,
          )
          self._testAll(
              np.random.rand(1, 3, 4).astype(t),
              [[0, 0], [1, 1], [2, 2]],
              1.41,
          )
  
imports: import numpy
  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 gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the PadOpTest obj's underlying member method code with example usage: obj.testFloatTypes() without return types