code: def _unvec(x, matrix_shape):
      return tf.reshape(
          x,
          prefer_static.concat(
              [prefer_static.shape(x)[:-1], matrix_shape], axis=0
          ),
      )
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_linear_operator
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 2 for calling a global function with example usage: _unvec(x, matrix_shape) and returns: tf