tianzhou2011 / film Goto Github PK

In your paper, you wrote about Frequency Enhanced Layer Original version (use weights W). Where is the source of it?

你好，我在拜读完您的文章《FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
》之后遇到了一个Bug，run.py作为启动界面在调用exp_main.py文件中的train()方法的时候报错，报错代码在path = os.path.join(self.args.checkpoints, setting)这句话。

报错内容：FileNotFoundError: [WinError 3] 系统找不到指定的路径。: './checkpoints/test_FiLM_fourCroguidedm2TanhR_ab0_modes64_uwl0_ETTh1_ftM_sl2400_ll1200_pl2400_dm512_nh8_el2_dl1_df2048_fc1_ebtimeF_dtTrue_test_0'

其中在run.py中进行对--model的参数进行了改动，改成了FiLM这个模块，因为我想复现一下您的FiLM模型

您可以指导我一下是哪里出了问题吗，麻烦您了！

作者您好，我想问一下script里面的脚本如何使用

Hi, thanks for your great work! Would it be possible to share the script to calculate the memory usage and training speed presented in Figure 9? Thanks a lot!

Hello Zhou,

Thank you for releasing the code.
I am trying to recreate your results

I was able to run and recreate the results for the Film model.

Now, I am trying to run the Informer and Logformer models for comparison
I am able to train successfully

But, during testing, I am getting the following error

ValueError: operands could not be broadcast together with shapes (44,96,1) (1408,96,1)

Please let me know the fix for this, thanks.

Best regards
Niharika

老师您好，我根据论文描述，理解的是您在FiLM文件中的190行代码self.spec_conv_1 = nn.ModuleList([SpectralConv1d()])调用了FNO函数，但运行程序时，调用了第74行的class SpectralConv1d(nn.Module):。在该类中我个人没有找到调用FNO的办法，请问需要哪一步设置可以调用FNO。

Hello, I am a graduate student at China University of Geosciences Wuhan, and I recently read your paper FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting published in NIPS and open-sourced the code. In the paper, it is written that FLIM is a feature extraction model that can be used to extract historical information and remove historical noise. After reading your paper, I ran the open source FILM.py file, which contains examples for testing, and I encountered a problem that the output of the model is all one value.