The CuDNNGRU & CuDNNLSTM layers are now available in Keras. Less features than GRU/LSTM, but a 3x-6x speedup on GPU. https://keras.io/layers/recurrent/#cudnngru …
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Is it possible to import/convert the saved weights to run on the cpu for these layers?
`http://model.save _weights(fname)` produces a file that can be loaded into the original model. It's the same weight structure.
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The reason I ask is because the docs say "Can only be run on GPU"
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So, I landed here through stack-overflow and github, really appreciate if you can point me to some direction. I have model with CudnnRNN from GPU, and when importing with load_model on CPU it gives me error.
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