def __init__(self,<EOL>distribution,<EOL>batch_shape,<EOL>validate_args=False,<EOL>allow_nan_stats=True,<EOL>name=None):
parameters = dict(locals())<EOL>name = name or "<STR_LIT>" + distribution.name<EOL>with tf.name_scope(name) as name:<EOL><INDENT>self._batch_shape_unexpanded = tf.convert_to_tensor(<EOL>value=batch_shape, dtype=tf.int32, name="<STR_LIT>")<EOL>validate_init_args_statically(distribution, self._batch_shape_unexpanded)<EOL>batch_shape, batch_shape_static, runtime_assertions = calculate_reshape(<EOL>distribution.batch_shape_tensor(), self._batch_shape_unexpanded,<EOL>validate_args)<EOL>self._distribution = distribution<EOL>self._batch_shape_ = batch_shape<EOL>self._batch_shape_static = batch_shape_static<EOL>self._runtime_assertions = runtime_assertions<EOL>super(BatchReshape, self).__init__(<EOL>dtype=distribution.dtype,<EOL>reparameterization_type=distribution.reparameterization_type,<EOL>validate_args=validate_args,<EOL>allow_nan_stats=allow_nan_stats,<EOL>parameters=parameters,<EOL>graph_parents=(<EOL>[self._batch_shape_unexpanded] + distribution._graph_parents),  <EOL>name=name)<EOL><DEDENT>
Construct BatchReshape distribution.

        Args:
          distribution: The base distribution instance to reshape. Typically an
            instance of `Distribution`.
          batch_shape: Positive `int`-like vector-shaped `Tensor` representing
            the new shape of the batch dimensions. Up to one dimension may contain
            `-1`, meaning the remainder of the batch size.
          validate_args: Python `bool`, default `False`. When `True` distribution
            parameters are checked for validity despite possibly degrading runtime
            performance. When `False` invalid inputs may silently render incorrect
            outputs.
          allow_nan_stats: Python `bool`, default `True`. When `True`, statistics
            (e.g., mean, mode, variance) use the value "`NaN`" to indicate the
            result is undefined. When `False`, an exception is raised if one or
            more of the statistic's batch members are undefined.
          name: The name to give Ops created by the initializer.
            Default value: `"BatchReshape" + distribution.name`.

        Raises:
          ValueError: if `batch_shape` is not a vector.
          ValueError: if `batch_shape` has non-positive elements.
          ValueError: if `batch_shape` size is not the same as a
            `distribution.batch_shape` size.