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Absolute Gradient using Convolution Operator and Binary Images
2:01
YouTubeTalha Hanif Butt
Absolute Gradient using Convolution Operator and Binary Images
This is my implementation of the Absolute Gradient using Convolution Operator and Binary Images. I have used Adobe-240 dataset for this implementation. My code and article can be accessed here: https://medium.com/@thanifbutt/convolution-7fbecc201f23 Adobe-240 dataset: https://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/ YouTube video ...
1 month ago
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~90% of AI’s energy is devoted to one core, expensive operation: matrix multiplication.This partly explains why so much research and engineering on LLM inference targets reducing the IO and complexity of MatMuls: O(n³) FLOPs to process only O(n²) data. When n = 30K, the gap is enormous...A question I find fascinating is whether there exist alternative bilinear operators f(W, X) for “mixing” LLM tokens, that are as “expressive” as MatMul for human-related tasks, but require ≪ n³ FLOPs (and ideall
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