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(#4064)\n\n* Switch use of TF cond function to use public function.\r\n\r\nPrior to newer TFs, cond was unavailable and thus was being\r\nimported via private module namespaces.\r\n\r\nNewer TFs expose tf.cond as the public interface.  There\r\nare plans to remove private module namespace access so\r\nthis fixes keras to first try accessing through the public\r\nnamespace, and then going through the private one for older\r\nversions of TF.\r\n\r\n* PEP8 fix","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/044071f0d52543a6e7751865f8f9ed2f8ff3919b"},{"sha":"b89a93faae8237561181f3d22b164de5b6dc728c","author":{"name":"Abishek Bhat","email":"834494d4d92fb78fd371ad17d2289632e9d197a2@gmail.com"},"message":"Remove unused imports. 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(#4065)","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/d745d9ee96e5d39393ac740e5b84229beca00f1d"},{"sha":"70ebb15a333ee543e72770c1613767a64ffb1ca6","author":{"name":"Ramanan Balakrishnan","email":"a1a9cf35120e50145057b59559edc8b7783f5f61@gmail.com"},"message":"Add documentation about metrics functions (#4024)\n\n* Add documentation about metrics functions\r\n\r\n* Add docstrings to metrics.py and auto-generate the docs from these strings","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/70ebb15a333ee543e72770c1613767a64ffb1ca6"},{"sha":"3e95633b1fb920e7821737522f23725512df8d1c","author":{"name":"happygds","email":"c813abe65ba70231f489e0964a256d7f2f8f4721@sjtu.edu.cn"},"message":"manually terminate threads process returned by `generator_queue()` (#4101)\n\n* manually terminate threads process returned by `generator_queue()`\r\n\r\nRecently I custum a video sequence DataGenerator (based on ImageDataGenerator) for experiment. When I use model.fit_generator as following:\r\n>history = model.fit_generator(train_data_generator, samples_per_epoch=train_data_generator.nb_sample,\r\n                              nb_epoch=nb_epoch, verbose=1, callbacks=[early_stopping, model_checkpoint],\r\n                              validation_data=test_data_generator, nb_val_samples=test_data_generator.nb_sample,\r\n                              max_q_size=10, nb_worker=8, pickle_safe=True)\r\nI found that the validation process consumes much longer time than training despite it contains less data.\r\nI read the code and changed the `self.evaluate_generator()` (line 1482) in `fit_generator' to use a multiprocessing approach as training process did. However, the memory usage quikly increases and it only last for a few epoches. \r\nThrough analysis, I think it is caused by the processes weren't freed after the `evaluate_generator` accomplished. Thus I suggest returning `generator_threads` from function `generator_queue()` and manually terminate these threads in `fit_generator`, `evaluate_generator`, `predict_generator`.\r\n\r\n* stastify the PEP style\r\n\r\n* correct the PEP8's E128 error","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/3e95633b1fb920e7821737522f23725512df8d1c"},{"sha":"94ee8e15704d76fb3ef06a91c2c9c72aa07678e9","author":{"name":"Francois Chollet","email":"0bf6f10265bea1a2b8787c59d746d2ff00a8e031@gmail.com"},"message":"Add Xception model to keras.applications.","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/94ee8e15704d76fb3ef06a91c2c9c72aa07678e9"},{"sha":"6ffa6f39e6222c5417f70eea84ebd92e2d6113f5","author":{"name":"Francois Chollet","email":"0bf6f10265bea1a2b8787c59d746d2ff00a8e031@gmail.com"},"message":"Fix typo in Merge layer docstring.","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/6ffa6f39e6222c5417f70eea84ebd92e2d6113f5"},{"sha":"66e59447995bcdf0c2adad98766efa666fb2684f","author":{"name":"Fariz Rahman","email":"5a25160458831cf91391078a930b7807b4b93462@gmail.com"},"message":"Fix Merge layer docstring (#4132)","distinct":false,"url":"https://api.github.com/repos/lishen/keras/commits/66e59447995bcdf0c2adad98766efa666fb2684f"}]}
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