code: def _f_minimum(_model_factory: _ModelFactory[Any]) -> tf.Tensor:
      return (
          tf.constant(
              [
                  [0.2, 0.4],
                  [0.4, 0.6],
                  [0.6, 0.8],
              ],
              dtype=default_float(),
          )
          if _model_factory.multi_output
          else tf.constant([[0.3, 0.5]], dtype=default_float())
      )
  
imports: from typing import Any, Callable, DefaultDict, Generic, Iterator, List, Set, Tuple, Type, TypeVar, cast
  import numpy
  import pytest
  import tensorflow
  from _pytest.fixtures import SubRequest
  from check_shapes import check_shapes
  import gpflow
  from gpflow.base import RegressionData
  from gpflow.config import default_float
  from gpflow.inducing_variables import InducingPoints, InducingVariables
  from gpflow.kernels import Kernel, Matern52
  from gpflow.likelihoods import Exponential, Likelihood
  from gpflow.models import GPR, SGPR, SVGP, VGP, GPModel, training_loss_closure
  from gpflow.models.vgp import update_vgp_data
  from gpflow.posteriors import AbstractPosterior, PrecomputeCacheType
label_desc: Use image node_id 16 for calling a global function with example usage: _f_minimum(_model_factory) and returns: unknown