code: def test_linear_operator_zeros(self, shape, dtype, use_static_shape):
      op = trainable_linear_operators.build_linear_operator_zeros(
          _build_shape(shape, is_static=use_static_shape), dtype=dtype
      )
      self.assertAllEqual(self.evaluate(op.shape_tensor()), shape)
      self.assertIsInstance(
          _strip_defer(op), tf.linalg.LinearOperatorZeros
      )
      self.assertDTypeEqual(
          self.evaluate(op.to_dense()), dtype.as_numpy_dtype
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import scale_matvec_linear_operator
  from tensorflow_probability.python.experimental.util import deferred_module
  from tensorflow_probability.python.experimental.vi.util import trainable_linear_operators
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the TrainableLinearOperators obj's underlying member method code with example usage: obj.test_linear_operator_zeros(shape, dtype, use_static_shape) without return types