def boosted_trees_serialize_ensemble_eager_fallback(tree_ensemble_handle, name=None, ctx=None):
    'This is the slowpath function for Eager mode.\n  This is for function boosted_trees_serialize_ensemble\n  '
    _ctx = (ctx if ctx else _context.context())
    tree_ensemble_handle = _ops.convert_to_tensor(tree_ensemble_handle, _dtypes.resource)
    _inputs_flat = [tree_ensemble_handle]
    _attrs = None
    _result = _execute.execute(b'BoostedTreesSerializeEnsemble', 2, inputs=_inputs_flat, attrs=_attrs, ctx=_ctx, name=name)
    _execute.record_gradient('BoostedTreesSerializeEnsemble', _inputs_flat, _attrs, _result, name)
    _result = _BoostedTreesSerializeEnsembleOutput._make(_result)
    return _result
This is the slowpath function for Eager mode.
This is for function boosted_trees_serialize_ensemble
def boosted_trees_serialize_ensemble_eager_fallback(tree_ensemble_handle, name=None, ctx=None):
    'This is the slowpath function for Eager mode.\n  This is for function boosted_trees_serialize_ensemble\n  '
    _ctx = (ctx if ctx else _context.context())
    tree_ensemble_handle = _ops.convert_to_tensor(tree_ensemble_handle, _dtypes.resource)
    _inputs_flat = [tree_ensemble_handle]
    _attrs = None
    _result = _execute.execute(b'BoostedTreesSerializeEnsemble', 2, inputs=_inputs_flat, attrs=_attrs, ctx=_ctx, name=name)
    _execute.record_gradient('BoostedTreesSerializeEnsemble', _inputs_flat, _attrs, _result, name)
    _result = _BoostedTreesSerializeEnsembleOutput._make(_result)
    return _result