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I am opening this thread to coordinate contributions to new tutorials for use in the OpenMM 8 paper.
I'll keep this list updated with the discussion below:
- [ ] Extend `openmm-cookbook` to build …
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Currently, the dashboard starts to slow down with datasets at about 1.6MB, this becomes more pronounced by 3.3MB (CSV with about 12,000 rows by 15 columns).
The slow down is most pronounced in
1. I…
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### 🐛 Describe the bug
I believe `cholesky_backward` implementation is incorrect due to the false but well-intentioned assumption that $\overline{\Sigma}=\frac{S + S^\top}{2}$ is the backward gradi…
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### Checklist
- [x] 1. I have searched related issues but cannot get the expected help.
- [x] 2. The bug has not been fixed in the latest version.
- [x] 3. Please note that if the bug-related iss…
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### 🐛 Describe the bug
I run the following code in a notebook:
```
import torch
import time
# Reserve 2G GPU RAM
mem_ptr = torch.cuda.caching_allocator_alloc(1024*1024*1024 * 2)
# Sleep 5…
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I start this issue with a list of things that would be nice to add and are easy to implement but we never find the time.
Hopefully, they will serve as a starting point for a Hackathon
The idea is…
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### 🐛 Describe the bug
The following snippet will work while `use_grad` is true, but will crash once the EmbeddingBag has its weights frozen.
```python
import torch
import torch.nn.functional a…
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### 🐛 Describe the bug
Testing consistency of ```torch::nn::functional::log_softmax``` between CPU and GPU using bfloat16 data.
```python #
#include
#include
int main() {
torch::Tenso…
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### 🐛 Describe the bug
```
import torch
a = torch.tensor([1, 2, 3])
b = torch.tensor([4, 5, 6])
torch.vdot(a, b)
a = a.cuda()
b = b.cuda()
torch.vdot(a, b)
```
When I run the above code …
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On c7i.metal-48xl's 1 socket's (Intel Xeon Platinum 8488C) 48 physical cores (no HT):
Tool | Time[s] 100K | Time[s] 1M | Time[s] 10M | AUC 1M | AUC 10M
------------------|----…