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I tried to read through your very nice package and created a new model for training that would fit for my sequences. My x data are sequences of variable length padded to max len of 2002 and the y is my encoded array (512). Were one sequence corresponds/describes one such array of 512. Probably I understand something wrong, I tried different reshaping but could not get the model to predict different arrays. All are the same, currently I train with shape of x = (68015,2002,1), y=(68015,1,512), when I try to predict with x_val (706,1,512), all of the 706 arrays are exactly the same, but each of them should correspond to a different array. I put my current code below. I was also wondering if an attention layer would be useful after the tcn?
Hi,
I tried to read through your very nice package and created a new model for training that would fit for my sequences. My x data are sequences of variable length padded to max len of 2002 and the y is my encoded array (512). Were one sequence corresponds/describes one such array of 512. Probably I understand something wrong, I tried different reshaping but could not get the model to predict different arrays. All are the same, currently I train with shape of x = (68015,2002,1), y=(68015,1,512), when I try to predict with x_val (706,1,512), all of the 706 arrays are exactly the same, but each of them should correspond to a different array. I put my current code below. I was also wondering if an attention layer would be useful after the tcn?
Thanks for your help!
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