I want to compute attention over these M images.
essentially I’d like to convert [img1, img2, . . . imgM] into latent representations [lat1, lat2, …, latM]
I originally thought I can just create tensor [M x batch_image] which is essentially [M x batch x chan x W x H] once you expand it out.
and pass it through conv2d, which would result in [M x batch x latent]
no luck though xD