swh:1:snp:1cdda5e53711f98e04a62485ebb818a07588deba
Revision aff62bcc29d77b740b81cbadc83656efe2adc080 authored by st-- on 30 March 2020, 09:32:58 UTC, committed by GitHub on 30 March 2020, 09:32:58 UTC
* Adds an explicit check to Scipy() that all elements of `variables` are actually tf.Variable instances (unconstrained variables) - accidentally passing `model.trainable_parameters` may work but give the wrong answers for parameters with transforms! Passing `model.trainable_variables` is the right thing to do. * Updates _compute_loss_and_gradients to only compute gradients wrt passed-in variables. * Fix mixture density network notebook, which had erroneously passed model.trainable_parameters instead of model.trainable_variables.
1 parent d41d6eb
Tip revision: db2b42eb195f2bd1fd2830fcaf9314a3f343d132 authored by sc336 on 27 January 2023, 07:58:54 UTC
Sc336/2.7.0 develop merge (#2042)
Sc336/2.7.0 develop merge (#2042)
Tip revision: db2b42e
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.circleci | ||
.github | ||
doc | ||
gpflow | ||
tests | ||
.coveragerc | -rw-r--r-- | 283 bytes |
.coveralls.yml | -rw-r--r-- | 23 bytes |
.gitignore | -rw-r--r-- | 828 bytes |
.pylintrc | -rw-r--r-- | 14.6 KB |
GLOSSARY.md | -rw-r--r-- | 1.4 KB |
LICENSE | -rw-r--r-- | 11.1 KB |
MANIFEST.in | -rw-r--r-- | 182 bytes |
Makefile | -rw-r--r-- | 682 bytes |
README.md | -rw-r--r-- | 9.7 KB |
RELEASE.md | -rw-r--r-- | 6.9 KB |
VERSION | -rw-r--r-- | 9 bytes |
codecov.yml | -rw-r--r-- | 274 bytes |
contributing.md | -rw-r--r-- | 7.3 KB |
notebooks | l--------- | 21 bytes |
setup.py | -rw-r--r-- | 3.2 KB |
tests_requirements.txt | -rw-r--r-- | 232 bytes |
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