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Tricks for training? #6

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TankManBeta opened this issue May 3, 2023 · 6 comments
Open

Tricks for training? #6

TankManBeta opened this issue May 3, 2023 · 6 comments

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@TankManBeta
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Thank you for sharing your idea and source code. I would like to know whether any other tricks were adopted in the training process for the results I got are not as good as the ones reported in the paper.

@sifanexisted
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Collaborator

Hello, did you try to run our provided scripts or to reproduce the results by yourself?

@TankManBeta
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I run the code provided in your repository. Only for the KS equation(regular), I can't get a good result, the L2 error reported in the paper is 3.49e − 04, but I got an error of 4.155e-02.

@sifanexisted
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Apologies for the delayed response. We recently tested our code for that example and successfully reproduced the results on an NVIDIA A6000. However, we did notice a performance drop when using other GPUs. This may be attributed to the example being sensitive to initial values, causing small errors to accumulate and eventually lead to significant discrepancies.

@braveyjc
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I run the code provided in your repository. Only for the KS equation(regular), I can't get a good result, the L2 error reported in the paper is 3.49e − 04, but I got an error of 4.155e-02.

Can you share your code? I'm using Windows system and have been trying to reproduce the causality PINN without the modified MLP and Taylor-mode automatic differentiation. However, I've noticed that the results are not satisfactory.

@TankManBeta
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Author

I run the code provided in your repository. Only for the KS equation(regular), I can't get a good result, the L2 error reported in the paper is 3.49e − 04, but I got an error of 4.155e-02.

Can you share your code? I'm using Windows system and have been trying to reproduce the causality PINN without the modified MLP and Taylor-mode automatic differentiation. However, I've noticed that the results are not satisfactory.

I reproduced the results using the code provided in the repository and didn't modify anything. I did notice that modified MLP and Taylor-mode automatic differentiation can improve accuracy and efficiency.

@braveyjc
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I run the code provided in your repository. Only for the KS equation(regular), I can't get a good result, the L2 error reported in the paper is 3.49e − 04, but I got an error of 4.155e-02.

Can you share your code? I'm using Windows system and have been trying to reproduce the causality PINN without the modified MLP and Taylor-mode automatic differentiation. However, I've noticed that the results are not satisfactory.

I reproduced the results using the code provided in the repository and didn't modify anything. I did notice that modified MLP and Taylor-mode automatic differentiation can improve accuracy and efficiency.

Can we exchange contact information for further discussion? If you have QQ, my QQ number is: 1194453382.

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