Comments (2)
hongzimao
commented on July 27, 2024
I didn't see this error before but it looks like you hit an Inf somewhere. Could you narrow down to where the error is emitted from?
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VioletLi
commented on July 27, 2024
When the program is computing, it will crash due to excessive memory consumption, so I made some changes such as decreasing the interval of gradient calculating and reducing the size of networks. And when decima makes too much schedule decisions before calculating gradient, it will crash for this error when calculating gradient.
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Related Issues (20)
- some questions of your code HOT 9
- The model training issue with reward function optimizing makespan HOT 14
- Updating Tensorflow 1.14 to 2 HOT 3
- About nodes information HOT 1
- A question about the result HOT 5
- some question about the main idea
- Some questions about Decima's GNN HOT 2
- Questions about the input vector HOT 2
- What are the versions of the project pkg requirement? HOT 6
- Question about multi resource training. HOT 1
- when calculating the reward whether the locality of the data to the core is taken into account? in other word,the data transfer between different nodes may significant affect the reward calculation.
- How to integrate Decima in Spark
- About the model of generation HOT 1
- Question about .npy files
- Some questions about executor
- Code for Learning State Representation
- Could u plz tell me the piplist of this code? HOT 2
- Bug in determining `done` in `env.step`?
- PyTorch Implementation of Decima Available!
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