Fix #7550 - masking a layer that has an integer dtype raises an error in TensorFlow but not Theano. #7552
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airalcorn2
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Aug 11, 2017
* master: model.fit(steps_per_epoch), mnist_tfrecord.py, progbar np.mean (keras-team#7113) Change default size to allow different MobileNet sizes (keras-team#7586) cntk backend: fix the reversed rnn bug (keras-team#7593) Fix mask for multi output --> multi inputs (keras-team#7591) [RELNOTES] Subtract merge layer (keras-team#7573) update docker with cntk 2.1 (keras-team#7565) [RELNOTES] Move constraint management to be based on variable attributes (like TF). (keras-team#7564) Add handling for `dtype` arg in initializer config. Fix keras-team#7550. (keras-team#7552) remove unnecessary function definition (keras-team#7542) refactor the function - _convert_string_dtype (keras-team#7540) Add batchnorm tests for CNTK (keras-team#7534) Clean up RNN tests (keras-team#7529) Add merge tests (keras-team#7533) # Conflicts: # examples/mnist_tfrecord.py # keras/engine/training.py # keras/utils/generic_utils.py # tests/keras/engine/test_training.py
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