Pass current learning rate to schedule() in LearningRateScheduler #8865
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fchollet
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Feb 2, 2018
keras/callbacks.py
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| lr = self.schedule(epoch) | ||
| lr = float(K.get_value(self.model.optimizer.lr)) | ||
| try: # new API | ||
| lr = self.schedule(epoch, lr) |
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Better to use keyword arguments (same below). API change looks ok to me.
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Done, assuming I understood you correctly. This is a breaking change, since we now require user-passed schedule() to have argument named epoch, which we didn't before.
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That's a good point, since we didn't require it be named epoch before, we should probably make the first argument positional and only make the second (new one) a keyword arg.
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I can relax this only in the old API. New one can require both to be named.
ahundt
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Feb 16, 2018
* 'master' of github.com:fchollet/keras: (57 commits) Minor README edit Speed up Travis tests (keras-team#9386) fix typo (keras-team#9391) Fix style issue in docstring Prepare 2.1.4 release. Fix activity regularizer + model composition test Corrected copyright years (keras-team#9375) Change default interpolation from nearest to bilinear. (keras-team#8849) a capsule cnn on cifar-10 (keras-team#9193) Enable us to use sklearn to do cv for functional api (keras-team#9320) Add support for stateful metrics. (keras-team#9253) The type of list keys was float (keras-team#9324) Fix mnist sklearn wrapper example (keras-team#9317) keras-team#9287 Fix most of the file-handle resource leaks. (keras-team#9309) Pass current learning rate to schedule() in LearningRateScheduler (keras-team#8865) Simplify with from six.moves import input (keras-team#9216) fixed RemoteMonitor: Json to handle np.float32 and np.int32 types (keras-team#9261) Update tweet length from 140 to 280 in docs Add `depthconv_conv2d` tests (keras-team#9225) Remove `force` option in progbar ...
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this allows things like not overriding other ways to set
lr, halvinglrevery k epochs, etc.