Recurrent neural network

Hi ,
I’m new to deep learning and PyTorch , I have a classification problem and I want to try different variations of RNN cells to try to solve it . So to describe more my dataset it will be the following [ examples , dates , features ] , so I have a 3D tensor where the first dimension will be the examples followed by dates where the observations ( features ) are taken and last the number of features , for now [9230 , 23 , 20] . I want to train my first RNN with a simple RNN cell ( tanh cell ) to try and classify my dataset ( the output , number of classes are 10 ) but I can’t figure out how to input my dataset into the classifier how to input it properly , any help and thank you.