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L-BFGS - Is second order optimizer having good convergence but is memory intensive.
Offloading optimizer state with deep-speed would improve method accessibility for users constrained in GPU-RAM
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https://github.com/JuliaNLSolvers/NLSolvers.jl/blob/486e562e32322c9443617a935b4ef8a5ec387f59/src/nlsolve/linesearch/newton.jl#L25-L29 asks the scheme for a ´reset_age´ field, but there isnt one. with …
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In L-BFGS, we ignored the PW-condition and just used Armijo condition to do the line search. This may lead to some issues. @Matlavo Would you like to have a check on the update later if you have extra…
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The error message is
Error at /home/mvngu/apps/plfit/src/plfit.c:401 : L-BFGS optimization signaled an error (error code = -1000), Failed
Aborted
The data that produced the error are available at
h…
mvngu updated
12 years ago
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- [ ] [Rvmmin](https://cran.r-project.org/web/packages/Rvmmin/index.html): for BFGS and L-BFGS-B
- [ ] [Rcgmin](https://cran.r-project.org/web/packages/Rcgmin/index.html): for Conjugate gradient
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Hi,
following the new tutorial I moved my GPU net from Flux to Lux. Unfortunately now I cannot use BFGS for the optimization. The code I use is the following:
```
using NeuralPDE, Lux, CUDA, Modeli…
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Memory problems with large system ->Try [Limited-memory_BFGS](https://en.wikipedia.org/wiki/Limited-memory_BFGS)
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### 请提出你的问题 Please ask your question
运行DeepXDE的一个官方案例时,使用pytorch的backend运行adam优化器和L-BFGS优化器能够得到想要的结果,但转换为paddle backend后训练时得到错误的结果。
代码为:https://github.com/lululxvi/deepxde/blob/master/docs/demos/p…
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**Question❓**
If I change the differentiation method in the optimization example in [Optimizing through an ODE solve and re-creating MTK Problems](https://docs.sciml.ai/ModelingToolkit/stable/exam…
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So it looks like l-bfgs is very sensitive to scaling of the data, which can lead to convergence issues.
I feel like we might be able to fix this by changing the framing of the optimization?
exampl…