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Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf

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Here is a simple version. ```Python import torch import torch.nn as nn class Time2vec(nn.Module): def __init__(self, c_in, c_out, activation="cos"): super().__init__() self.wnbn = nn.Linear(c_in, c_out - 1, bias=True) self.w0b0 = nn.Linear(c_in,...

Can you please explain why we have got 2 dim for fc output in Model.py. ?