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 ...
// 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 ...
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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