code: def test_construct_parameter_from_existing_parameter_check_dtype(
      dtype: tf.DType,
  ) -> None:
      initial_parameter = gpflow.Parameter([1.1, 2.1], dtype=dtype)
      new_parameter = gpflow.Parameter(initial_parameter)
  
      assert new_parameter.dtype == dtype
  
imports: import tempfile
  from typing import Sequence
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn, TensorData
  from gpflow.config import default_float
  from gpflow.utilities import positive, triangular
label_desc: Use image node_id 14 for calling a global function with example usage: test_construct_parameter_from_existing_parameter_check_dtype(dtype) without return types