code: def _eval(backend, op_or_result):
      if hvd._executing_eagerly():
          return op_or_result
      else:
          return backend.get_session().run(op_or_result)
  
file_path: horovod/horovod/_keras/__init__.py
imports: import os
  from packaging import version
  import horovod.tensorflow
  import tensorflow
  from horovod.tensorflow.gradient_aggregation import LocalGradientAggregationHelper
  from horovod.tensorflow.gradient_aggregation_eager import LocalGradientAggregationHelperEager
  from horovod.tensorflow.mpi_ops import rank, size_op
label_desc: Use image node_id 2 for calling a global function with example usage: _eval(backend, op_or_result) and returns: op_or_result, backend