https://github.com/GPflow/GPflow
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.
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- aff62bcc29d77b740b81cbadc83656efe2adc080
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Tip revision: aff62bcc29d77b740b81cbadc83656efe2adc080 authored by st-- on 30 March 2020, 09:32:58 UTC
Make Scipy more robust & faster (#1377)
Make Scipy more robust & faster (#1377)
Tip revision: aff62bc
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