Source code for gpflow.utilities.parameter_or_function

# Copyright 2022 The GPflow Contributors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# http://www.apache.org/licenses/LICENSE-2.0
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from typing import Optional, Union

import tensorflow as tf
from check_shapes import check_shapes

from ..base import Parameter, TensorData, TensorType
from ..functions import Function
from . import positive

ConstantOrFunction = Union[Function, TensorData]
ParameterOrFunction = Union[Function, Parameter]


[docs]def prepare_parameter_or_function( value: ConstantOrFunction, *, lower_bound: Optional[float] = None, ) -> ParameterOrFunction: if isinstance(value, Function): return value else: if lower_bound is None: return Parameter(value) else: return Parameter(value, transform=positive(lower_bound))
[docs]@check_shapes( "X: [batch..., N, D]", "return: [broadcast batch..., broadcast N, broadcast P]", ) def evaluate_parameter_or_function( value: ParameterOrFunction, X: TensorType, *, lower_bound: Optional[float] = None, ) -> TensorType: if isinstance(value, Function): result = value(X) if lower_bound is not None: result = tf.maximum(result, lower_bound) return result else: return value