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Hi,
I have data that is the shape (batch, channel, height, width), I want to quantize it and I was wondering what the dimension of the vectorquantizer should be. I tried dim=height, but it produces something of dimensions [1, channel] when I need something of the dimension [batch, channel].
any help would be appreciated.
thanks
The text was updated successfully, but these errors were encountered:
Here is the description of my model. my code is rather long , should I include other information? although I solved the issue by setting the batch size to 1. If I train this network, will it also update the codebook with the optimizer? or will the updates just be ema ?
Hi,
I have data that is the shape (batch, channel, height, width), I want to quantize it and I was wondering what the dimension of the vectorquantizer should be. I tried dim=height, but it produces something of dimensions [1, channel] when I need something of the dimension [batch, channel].
any help would be appreciated.
thanks
The text was updated successfully, but these errors were encountered: