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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _build(self):
 """Connects the TrainableTensor module into the graph. Returns: A Tensor of shape as determined in the constructor. """

    if "w" not in self._initializers:
      stddev = 1 / math.sqrt(np.prod(self._shape))
      self._initializers["w"] = tf.truncated_normal_initializer(stddev=stddev)

    self._w = tf.get_variable("w",
                              shape=self._shape,
                              dtype=self._dtype,
                              initializer=self._initializers["w"],
                              partitioner=self._partitioners.get("w", None),
                              regularizer=self._regularizers.get("w", None))
    return self._w