code: def _run1(self, r, t, x, g, h, decay_factor=None, epsilon=None, norm_coefficient=None):  # type: ignore
      x_new, h_new = _apply_adagrad(
          r, t, x, g, h, norm_coefficient, epsilon, decay_factor  # type: ignore
      )
      return x_new, h_new
  
imports: import numpy
  from onnx.reference.ops.aionnx_preview_training._op_run_training import OpRunTraining
label_desc: Use image node_id 2 for calling the Adagrad obj's underlying member method code with example usage: obj._run1(r, t, x, g, h, decay_factor, epsilon, norm_coefficient) and returns: x_new,  h_new