Deep Learning Toolbox Model Quantization Library

作者: MathWorks Fixed Point Team
Quantize and compress deep learning models
3.8
(10)
2.2K 次下载
更新时间 2024/10/16
Deep Learning Toolbox Model Quantization Library enables quantization and compression of your deep learning models to reduce the memory footprint and computational requirements of your deep neural network.
Quantization to INT8 is supported for CPUs, FPGAs, and NVIDIA GPUs, for supported layers. The library enables you to collect layer level data on the weights, activations, and intermediate computations. Using this data, the library quantizes your model and provides metrics to validate the accuracy of the quantized network against the single precision baseline. The iterative workflow allows you to optimize the quantization strategy.
The library also supports structural compression of models with pruning and projection. Both techniques reduce the sizes of deep neural networks by removing elements that have the smallest impact on inference accuracy.
Please refer to the documentation here: https://www.mathworks.com/help/deeplearning/quantization.html
Quantization Workflow Prerequisites can be found here:
https://www.mathworks.com/help/deeplearning/ug/quantization-workflow-prerequisites.html
If you have download or installation problems, please contact Technical Support - www.mathworks.com/contact_ts
Additional Resources
MATLAB 版本兼容性
创建方式 R2020a
兼容 R2020a 到 R2024b 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux
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