class_docstr: asr keras base solver
class_docstr_tok: ["asr","keras","base","solver"]
docstr: RunOptions and RunMetadata 
docstr_tok: ["RunOptions","and","RunMetadata"]
code: def get_run_opts_metas(self):
      """RunOptions and RunMetadata"""
      opts_conf = self.config["solver"]["run_options"]
      run_opts = tf.RunOptions(
          trace_level=opts_conf["trace_level"],
          inter_op_thread_pool=opts_conf["inter_op_thread_pool"],
          report_tensor_allocations_upon_oom=opts_conf[
              "report_tensor_allocations_upon_oom"
          ],
      )
      run_metas = tf.RunMetadata()
      run_metas = None
      run_opts = None
      return run_opts, run_metas
  
imports: from pathlib import Path
  from absl import logging
  import delta.compat
  from tensorflow.keras.utils import multi_gpu_model
  from tensorflow.keras.callbacks import EarlyStopping
  from tensorflow.keras.callbacks import TensorBoard
  from tensorflow.keras.callbacks import CSVLogger
  from tensorflow.keras.callbacks import ReduceLROnPlateau
  from delta import utils
  from delta.utils.solver.utils import solver_utils
  from delta.utils.solver.base_solver import Solver
  from delta.utils.solver.utils.callbacks import ParallelModelCheckpoint
  from delta.utils.register import registers
label_desc: Use image node_id 10 for calling the KerasBaseSolver obj's underlying member method code with example usage: obj.get_run_opts_metas() and returns: run_opts,  run_metas