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21 September 2021, 22:50:56 UTC
Revision 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC, committed by GitHub on 22 October 2019, 16:54:27 UTC 
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
 
Changes behaviour of step_callback so that the callback only gets called once per optimisation step, not once per objective function evaluation. Makes gpflow2's Scipy() behave more like gpflow1's ScipyOptimizer()/monitoring.

* Call step_callback through scipy.minimize's callback procedure (at the end of each step); previous behaviour was to call step_callback at each evaluation of objective function

* split off from unpack_tensors (now stateless) the new assign_tensors (assigns to variables)

* change callback_func to pass variables and their current values to step_callback, not assigning/computing loss/gradients

* fix type signature

* Improve docstring
1 parent a186ca5
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Tip revision: 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
Tip revision: 6e43fec
.coveragerc 
[report]
omit = *tests*, setup.py
exclude_lines =
    pragma: no cover
    def __repr__
    def __str__
    def _repr_html_
    def _html_table_rows
    if self.debug:
    if settings.DEBUG
    raise AssertionError
    raise NotImplementedError
    if __name__ == .__main__.:
    print
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