RFoldes11

Thank you so much! It should work for my problem. Instead of starting a new thread, I have just another quick question. How do I have to define boundary/initial condition...

Thank you Dr. Lulu for your reply and thank you for your really great work! I've just the last question to bother you. I have 157,511,520 data points that in...

I think is GPU. I'm working with 2TB of memory on CPU and it can load the data points correctly. The model compiles correctly and the code prints the loss...

I tried using ResidualResampler but it doesn't work. I'm not even sure I'm using it correctly. Here it is the part of the code where I'm implementing the model. ```...

Thank you so much for your help. I tried also with batch_size, instead of ```PDEResidualSampler``` but the problem remain the same. The domain is so small because I normalized both...

I tried setting a batch size when I train the model: ```losshistory1, train_state1 = model.train(epochs=10000, batch_size=1)``` But it gives me the same OOM error. The problem is that the maximum...

Thank you @haison19952013 ! Yes, I had a look at the source code. However, what makes me puzzled is that the entire data set actually fits in memory (it is...

> > Thank you @haison19952013 ! Yes, I had a look at the source code. However, what makes me puzzled is that the entire data set actually fits in memory...

Dear @lululxvi, I modified the source code as you suggested. ``` idx = np.random.randint(0, len(self.anchors)-1, 1000) X = np.vstack((self.anchors[idx,:], X)) ``` But I get the same OOM error. Am I...

Yes, I have already check it. It is correctly (1000, 2). It seems that the point where the code crashes due to OOM error is not this one. Thank you!