Revision d3ca3c90f9e1b644a0b902e6ad9296ea2a7168c4 authored by joelberkeley-pio on 17 March 2020, 19:12:46 UTC, committed by GitHub on 17 March 2020, 19:12:46 UTC
TensorFlow does not allow setting a tf.Variable's `trainable` property; this brings GPflow Parameter objects in line with that behaviour. gpflow.set_utilities() can be used to change the _trainable state for gpflow.Parameter and tf.Variable objects as well as recursively for tf/gpflow Modules. Note that set_trainable() should not be used inside functions that will be wrapped in tf.function() (see #1335).
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| File | Mode | Size |
|---|---|---|
| source | ||
| Makefile | -rw-r--r-- | 7.4 KB |
| README.md | -rw-r--r-- | 1.2 KB |
| requirements.txt | -rw-r--r-- | 203 bytes |
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