https://github.com/GPflow/GPflow
Revision b41d4f38436e4a090c940dbd3bc7e2afd39a283e authored by st-- on 23 April 2020, 18:17:42 UTC, committed by GitHub on 23 April 2020, 18:17:42 UTC
Previously, GPflow's NaturalGradient optimizer would call the loss_function once for each (q_mu, q_sqrt) set in the var_list. This is a light refactor that separates out applying the natural gradient step from computing the gradients (`_natgrad_apply_gradients`), and changes `_natgrad_steps` to only evaluate the loss function once, computing the gradients for all (q_mu, q_sqrt) tuples passed in the var_list. Other changes: - The no-longer-used `_natgrad_step` method got removed. - NaturalGradient now takes a `xi_transform` argument that is used for all parameter sets without explicitly specified xi transform (i.e. tuples rather than triplets). - XiTransform has been changed to have staticmethods. None of this should affect any downstream code; this PR is backwards-compatible.
1 parent c7550ce
Tip revision: b41d4f38436e4a090c940dbd3bc7e2afd39a283e authored by st-- on 23 April 2020, 18:17:42 UTC
refactor natgrads to be more efficient (#1443)
refactor natgrads to be more efficient (#1443)
Tip revision: b41d4f3
codecov.yml
coverage:
status:
project:
default:
target: 95%
threshold: 1%
patch:
default:
target: 97%
threshold: 1%
ignore:
- "*.py"
- "tests/*.py"
- "gpflow/ci_utils.py"
- "gpflow/versions.py"
- "doc/source/notebooks/*"
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