code: def _create_GPR_model_with_bias(
      X: TensorType, Y: TensorType, mean_function: MeanFunction
  ) -> gpflow.models.GPR:
      return gpflow.models.GPR(
          (X, Y),
          mean_function=mean_function,
          kernel=gpflow.kernels.Bias(Datum.input_dim),
      )
  
imports: from typing import Any, Sequence, Tuple, Type
  import numpy
  import pytest
  import tensorflow_probability
  from check_shapes import check_shapes
  from numpy.testing import assert_allclose
  import gpflow
  from gpflow.base import AnyNDArray, TensorType
  from gpflow.config import default_int
  from gpflow.functions import Additive, Constant, Linear, MeanFunction, Polynomial, Product, SwitchedMeanFunction, Zero
  from gpflow.inducing_variables import InducingPoints
label_desc: Use image node_id 3 for calling a global function with example usage: _create_GPR_model_with_bias(X, Y, mean_function) and returns: gpflow