Sir,
I've trained the d-vectors by your code, but it takes much more time than UIS-RNN's own test sequence which have the same sequence length and dims during each iteration. The phenomenon is just like what I described in the following question.
Thank you in advance.
https://github.com/google/uis-rnn/issues/27
UIS-RNN performs a different task than this project. They recommend the following.
Here test_sequence should be a 2-dim numpy array of type float, corresponding to a single observation sequence.
Sir, I've trained the d-vectors by your code, but it takes much more time than UIS-RNN's own test sequence which have the same sequence length and dims during each iteration. The phenomenon is just like what I described in the following question. Thank you in advance. https://github.com/google/uis-rnn/issues/27