Abstract: Quantization is one of the efficient model compression methods, which represents the network with fixed-point or low-bit numbers. Existing quantization methods address the network ...
Task Scheduler is a Windows tool that allows you to run and schedule tasks. When an event occurs, it is recorded so that users can troubleshoot issues if need be. In this post we will learn about Task ...
ENOB describes an analog-to-digital converter’s performance with respect to total noise and distortion. In the earlier parts of this series on analog-to-digital converters (ADCs), we looked at the ...
Specifications such as gain error, offset error, and differential nonlinearity help define an analog-to-digital converter’s performance. In part 1 of this series, we discussed an ideal ...
Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as ...
When I tried to quantize using the following command, I got the following error. Do you know the cause? py convert-hf-to-gguf.py --outtype f16 F:/models/Llama-3 ...
cmake -DMNN_USE_OPENCV=ON -DMNN_IMGCODECS=ON -DMNN_BUILD_TOOL=ON -DMNN_BUILD_BENCHMARK=ON -DMNN_BUILD_CONVERTER=ON -DMNN_BUILD_QUANTOOLS=ON .. [10:30:33] /home/nvidia ...
Abstract: For uniform scalar quantization, the error distribution is approximately a uniform distribution over an interval (which is also a 1-dimensional ball ...
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