// call `reshape_block_scales_to_sfa()` after this kernel at integration time. // Keeping the quantize kernel layout-agnostic makes it easier to unit-test // against a pytorch reference. // Launch ...
A vector quantization library originally transcribed from Deepmind's tensorflow implementation, made conveniently into a package. It uses exponential moving averages to update the dictionary. VQ has ...
Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...
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