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An official code for "MIMO is all you need"
Hi, you did a great job, could you please share the weather dataset and the corresponding reading script? I can't find the source of this dataset.
Could you supply more detailed information about the model parameters for weather dataset? It looks like it should be in 'supplementary materia', but I can't find any detail of 'supplementary materia' in your article or this repository.
I have noticed that your expansion of pos_emb in class Transformer is different with the shape of moving mnist ? Should it be expanded to (src.size(0), 20, self.d_model, 16, 16) since your patch_size is 2 instead of 4?
May I ask why you deleted all the parts related to position embedding in the previous code submission? Based on my observation, the current version of the code is unable to change the parameters n_frames_input and n_frames_output. Is this a separate modification made for movingmnist? Would you please open source the code that is compatible with multiple datasets and multiple total length together?
Thanks for your awesome MIMO-VP!
I am trying to train MIMO on datasets besides Moving MNIST, so could you please help me specify the hyperparameters for experiments on the Human3.6M, weather and KITTI datasets?
Thanks for your help!
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