Enable optimized dynamic quantization on aarch64 (#126687) 9f6e800 malfetpushed a commit to aditew01/pytorch that referenced this pull requestSep 13, 2024 Add Arm copyright line to LICENSE (pytorch#133982) 83ec740 Some historical commits from arm: - 2021664126b- 20232630144- 2024ce61300Seefor...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Enable optimized dynamic quantization on aarch64 · pytorch/pytorch@9383101
Ultrasound method employing echoes from a region of interest to enable quantization of backscatter signalsThe method of the invention controls an ultrasound unit to characterize echo signals from a region of interest (ROI) and to adjust unit parameters in accord therewith. The method initially defines...
However, the way those nodes are placed makes no sense to me: it computes dequantization immediately after quantization, so the input types of various Conv, Mul, etc nodes is still float32 tensors. I'm sure I'm missing (or misunderstanding) something here, so I can't...