code: def _linear_operator_zeros(shape, dtype=None, name=None):
      """Build an instance of `LinearOperatorZeros`.
  
      Args:
        shape: Shape of the `LinearOperator`, equal to `[b0, ..., bn, h, w]`, where
          `b0...bn` are batch dimensions `h` and `w` are the height and width of the
          matrix represented by the `LinearOperator`.
        dtype: `tf.dtype` of the `LinearOperator`.
        name: str, name for `tf.name_scope`.
      Yields:
        *parameters: sequence of `trainable_state_util.Parameter` namedtuples.
          These are intended to be consumed by
          `trainable_state_util.as_stateful_builder` and
          `trainable_state_util.as_stateless_builder` to define stateful and
          stateless variants respectively.
      """
      with tf.name_scope(name or "linear_operator_zeros"):
          batch_shape, rows, cols = ps.split(
              shape, num_or_size_splits=[-1, 1, 1]
          )
          num_rows, num_cols = rows[0], cols[0]
          is_square = num_rows == num_cols
          return tf.linalg.LinearOperatorZeros(
              num_rows,
              num_cols,
              batch_shape=batch_shape,
              is_square=is_square,
              is_self_adjoint=is_square,
              dtype=dtype,
          )
          # Tell Python that this fn is really a (trivial) generator.
          yield
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import fill_scale_tril
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import nest_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import trainable_state_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling a global function with example usage: _linear_operator_zeros(shape, dtype, name) and returns: tf