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DeepLM

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

DeepLM Results

Run

Please install the following

  1. pytorch.
  2. OpenMP (optional)

Then, run the example via

sh example.sh

Data Description

A full set of test data can be downloaded from the BAL page (Software & Data -> Available Dataset).

Other Application

Please check the examples folder for more application and features.

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DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

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  • Python 47.7%
  • C++ 37.5%
  • Cuda 10.1%
  • CMake 2.8%
  • C 1.3%
  • Shell 0.6%