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bfloat16 cannot be used with tf.keras.backend #60

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arahosu opened this issue Apr 28, 2020 · 0 comments
Open

bfloat16 cannot be used with tf.keras.backend #60

arahosu opened this issue Apr 28, 2020 · 0 comments
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arahosu commented Apr 28, 2020

Our current loss functions are implemented using tf.keras.backend. This throws an error when we use more memory-efficient data types like bfloat16 or other mixed-precision strategies. We could potentially reimplement the loss functions using low-level Tensorflow function (without relying on Keras backend functions)
@arahosu arahosu added the bug Something isn't working label Apr 28, 2020
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