https://github.com/GPflow/GPflow
Tip revision: 3b6200307f2133f3c99930850b7e5106a686d656 authored by uri-granta on 07 February 2024, 13:16:15 UTC
Bump version to 2.9.1 in preparation for release (#2103)
Bump version to 2.9.1 in preparation for release (#2103)
Tip revision: 3b62003
test_utilities.py
from typing import Tuple
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
import gpflow
from gpflow.base import AnyNDArray
from gpflow.models.util import data_input_to_tensor
def test_select_parameters_with_prior() -> None:
kernel = gpflow.kernels.SquaredExponential()
params = gpflow.utilities.select_dict_parameters_with_prior(kernel)
assert params == {}
kernel.variance.prior = tfp.distributions.Gamma(1.0, 1.0)
params = gpflow.utilities.select_dict_parameters_with_prior(kernel)
assert len(params) == 1
def test_data_input_to_tensor() -> None:
input1 = (1.0, (2.0,))
output1 = data_input_to_tensor(input1)
assert output1[0].dtype == tf.float64
assert output1[1][0].dtype == tf.float64
input2 = (1.0, [2.0])
output2 = data_input_to_tensor(input2)
assert output2[0].dtype == tf.float64
assert output2[1][0].dtype == tf.float64
input3: Tuple[float, Tuple[AnyNDArray, AnyNDArray]] = (
1.0,
(np.arange(3, dtype=np.float16),) * 2,
)
output3 = data_input_to_tensor(input3)
assert output3[0].dtype == tf.float64
assert output3[1][0].dtype == tf.float16
assert output3[1][1].dtype == tf.float16