tensorflow_probability/python/distributions/joint_distribution_sequential.py
def _build(self, model):
    """Creates `dist_fn`, `dist_fn_wrapped`, `dist_fn_args`."""
    if not isinstance(model, collections.Sequence):
      raise TypeError('`model` must be `list`-like (saw: {}).'.format(
          type(model).__name__))
    self._dist_fn = model
    self._dist_fn_wrapped, self._dist_fn_args = zip(*[
        _unify_call_signature(i, dist_fn)
        for i, dist_fn in enumerate(model)])
def _build(self, model):
    if not isinstance(model, collections.Sequence):
      raise TypeError('`model` must be `list`-like (saw: {}).'.format(
          type(model).__name__))
    self._dist_fn = model
    self._dist_fn_wrapped, self._dist_fn_args = zip(*[
        _unify_call_signature(i, dist_fn)
        for i, dist_fn in enumerate(model)])
def _build ( self , model ) : if not isinstance ( model , collections . Sequence ) : raise TypeError ( '`model` must be `list`-like (saw: {}).' . format ( type ( model ) . __name__ ) ) self . _dist_fn = model self . _dist_fn_wrapped , self . _dist_fn_args = zip ( * [ _unify_call_signature ( i , dist_fn ) for i , dist_fn in enumerate ( model ) ] )
Creates `dist_fn`, `dist_fn_wrapped`, `dist_fn_args`.
Creates dist_fn dist_fn_wrapped dist_fn_args .