kfac/python/ops/fisher_factors.py [769:781]:
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      exp_string = scalar_or_tensor_to_string(exp)
      damping_func = self._damping_funcs_by_id[damping_id]
      damping_string = graph_func_to_string(damping_func)
      with tf.variable_scope(self._var_scope):
        matpower = tf.get_variable(
            "matpower_exp{}_damp{}".format(exp_string, damping_string),
            initializer=inverse_initializer,
            shape=self._cov_shape,
            trainable=False,
            dtype=self._dtype,
            use_resource=True)
      assert (exp, damping_id) not in self._matpower_by_exp_and_damping
      self._matpower_by_exp_and_damping[(exp, damping_id)] = matpower
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kfac/python/ops/fisher_factors.py [2255:2268]:
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      exp_string = scalar_or_tensor_to_string(exp)
      damping_func = self._damping_funcs_by_id[damping_id]
      damping_string = graph_func_to_string(damping_func)
      with tf.variable_scope(self._var_scope):
        matpower = tf.get_variable(
            "matpower_exp{}_damp{}".format(exp_string, damping_string),
            initializer=inverse_initializer,
            shape=self._cov_shape,
            trainable=False,
            dtype=self._dtype,
            use_resource=True)

      assert (exp, damping_id) not in self._matpower_by_exp_and_damping
      self._matpower_by_exp_and_damping[(exp, damping_id)] = matpower
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