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I am using CNN as a part of kernel warping. The purpose here is to reduce input dimension (from N*M to K *1). The input data is not image data. I suspected that the CNN network might not work as I expected. How can I verify my assumption? I am using pytorch, by the way.

Thank you in advance.

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In order to verify the encoder efficiency than it is better to design some down stream task like classification, similarity , etc. Based on that u can validate your encoder. U may refer this link for downstream Task.

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