|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/internal/trainable_state_util.py#L327-L343) | Build an instance of `LinearOperatorZeros`. tfp.experimental.vi.util.build_linear_operator_zeros( *args, seed=None, **kwargs )


| ## 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`](https://www.tensorflow.org/api_docs/python/tf/name_scope). seed: PRNG seed; see [`tfp.random.sanitize_seed`](https://www.tensorflow.org/probability/api_docs/python/tfp/random/sanitize_seed) for details. |



| ## Returns || |---|---| | `instance` | instance parameterized by trainable [`tf.Variable`](https://www.tensorflow.org/api_docs/python/tf/Variable)s. |