base.py 文件源码

def tensor(self):
        """
        Return corresponding Tensor through sampling, or if observed, return
        the observed value.

        :return: A Tensor.
        """
        if not hasattr(self, '_tensor'):
            if self._observed is not None:
                self._tensor = self._observed
            elif self._name in self._net.observed:
                try:
                    self._tensor = tf.convert_to_tensor(
                        self._net.observed[self._name], dtype=self._dtype)
                except ValueError as e:
                    raise ValueError(
                        "StochasticTensor('{}') not compatible "
                        "with its observed value. Error message: {}".format(
                            self._name, e))
            else:
                self._tensor = self.sample(self._n_samples)
        return self._tensor