-
* TIA Toolbox version: 1.1.0
* Python version: 3.9
* Operating System: Linux
### Description
We have been investigating some of the Vahadane stain normalization algorithm and we realize that t…
-
```
def forward(self, x, condition):
scale_shift_params = self.adaptive_norm_layer(condition).chunk(6, dim=1)
(pre_attn_shift, pre_attn_scale, post_attn_scale,
pre_mlp_shi…
-
### **Problem**
Today, open source projects do not have a consistent mechanism to publish compliance and regulatory details about what the project does in a machine readable format and to enable asse…
-
pom & workflow
-
Greetings and congratulations on a nice body of work.
I am interested in using lossy SZ3 compression with the [hdf5plugin](https://github.com/silx-kit/hdf5plugin) in Python for the compression of 3…
-
### 🐛 Describe the bug
When processing complex data type, torch.linalg.vector_norm raises an overflow error.
```python
import torch
>>> torch.linalg.vector_norm(torch.randn(3, 3), torch.tensor(2…
-
When trying to restore checkpointed function, it seems not to be identical for some elements.
**Steps to Reproduce**
```python
from firedrake import *
from firedrake.__future__ import interpolat…
-
If I first run this code, there will have an error:
Traceback (most recent call last):
File "/root/CrossAug/main.py", line 159, in
args = init()
File "/root/CrossAug/main.py", line 50, in…
-
Now after creating poisson{1d,2d} examples, we should measure the convergence of the solution as the mesh width h goes to 0.
For this we need to compute relevant error norms like L^2, H^1, and L^oo.
…
-
Hello,
I have an issue with my model's time-series generation accuracy using feedback.
It performs well when I use the `.run() method` with `forced_feedbacks` with known output values. However, …
DJIDM updated
2 weeks ago