fixed RemoteMonitor: Json to handle np.float32 and np.int32 types #9261
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Previously lr log had dtype numpy.float32 which throws JSON serializable error if used along with Remote monitor callback.
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Fix this in the remote monitor callback directly. Changing the type of log values for all callbacks would break backwards compatibility (as seen in test failures for this PR). |
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Noob at contribution here,Will fix it properly next time |
This reverts commit 6d3c3dd.
Vijayabhaskar96
changed the title
fchollet
reviewed
Feb 1, 2018
keras/callbacks.py
Outdated
| if isinstance(v, (np.float16, np.float32)): | ||
| send[k] = np.float64(v) | ||
| elif isinstance(v, (np.int16, np.int32)): | ||
| send[k] = np.int64(v) |
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if isinstance(v, np.ndarray):
send[k] = v.item()
else:
send[k] = vThere was a problem hiding this comment.
changed as per suggestion,Travis build failed due to some tensorflow installation error,I guess re-running the test will pass the PR
ahundt
added a commit
to ahundt/keras
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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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Previously lr log had dtype numpy.float32 which throws JSON serializable error if used along with Remote monitor callback.Fixed it by casting it to float.