Comments (1)
Definitely it will speed up. We didn't include such approach in the code as we were testing different kernels. Please feel free to fork it, modify, test and send a pull request.
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Related Issues (20)
- ValueError: The parameter covariance_matrix has invalid values HOT 7
- Why should we choose the normalized laplacian matrix? HOT 1
- about torch HOT 2
- anorm problem about step_rel and step_ HOT 4
- Data visualization HOT 3
- Why does the loss value change from positive to negative HOT 1
- PROBLEM About TCN HOT 1
- could min-pedestrian greater than 1? HOT 1
- How to handle trajectories with missing frames? HOT 2
- Visualize trajectory in picture HOT 6
- Details about data processing HOT 3
- Questions about data process
- I am very curious about the element in your proposed adjacency matrix
- I am very curious about the element in your proposed adjacency matrix HOT 3
- When I test my own model, some datasets work fine, but the univ dataset reports errors. The specific error message is as follows. HOT 1
- details about dataset .txt file encoding type. HOT 1
- A question of determining linear or nonlinear
- During visualization, the jupyter notebook encountered the following error
- Details about Gaussian path visualization
- Question about the code in basic gcn unit
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