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Hi Havakv, thank you so much for your great work!
I'd like to know how to feed the pycox model multiple inputs?
Specifically, I want to use image and gene data x1, and x2 of subjects as multiple inp…
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### 🚀 The feature, motivation and pitch
## Context
### Background
_Torch Dynamo is the graph capture mechanism of PyTorch introduced in the PyTorch 2.0 release. Torch Dynamo will take a PyTor…
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I am trying to reproduce figure 1 from the paper:
I've found the code in` fig:latent-rotation/visualize.ipynb` and am attempting to get it to work. IIUC - it appears to assume that pre-baked mo…
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## 🐛 Bug
Unable to download MNIST Dataset as per pytorch Documentation
https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html
## To Reproduce
```python
import torch
fro…
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- [x] Section 1: Review
`[FILL HERE WITH RIGHT ANSWERS TO QUESTION 1]`
`[FILL HERE WITH RIGHT ANSWERS TO QUESTION 2]`
- [x] Section 2: PyTorch Basics
- [x] Install Pytorch
- [x] Pytorch b…
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- [x] Section 1: Review
`[FILL HERE WITH RIGHT ANSWERS TO QUESTION 1]`
`[FILL HERE WITH RIGHT ANSWERS TO QUESTION 2]`
- [x] Section 2: PyTorch Basics
- [x] Install Pytorch
- [x] Pytorch b…
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I am trying to run this program, but it is returning
`RuntimeError: Expected object of device type cuda but got device type cpu for argument #2 'mat1' in call to _th_addmm`.
Note: I am using the …
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Thank you very much for your work. I've combined ResNet with Kan, using ResNet for feature extraction and replacing the linear layer with KAN for classification. Along the way, I've noticed some chara…
CYYJL updated
1 month ago
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## 🐛 Bug
Using `torch.utils.checkpoint.checkpoint_sequential` and `torch.autograd.grad` breaks when used in combination with `DistributedDataParallel` resulting in the following stacktrace
```
…
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I am wondering what configuration was used to produce the results for Split MNIST (incremental domain learning) reported in Table 5. The paper mentions:
> For task learning on Split MNIST we used S…