-
Hello, everyone! Recently, I used OpenSTL to train a PredRNN++ model, but after several epochs, the training and validation loss became nan. Before training the model, I normalized the training data t…
-
**Problem Description**
Because there is no way to implicitly calculate LOD for texture sampling in the vertex shader, it causes a validation error when "ImplicitLod" variants of the texture instruct…
-
So with fp32... Sampler fails with... (using gguf i2v model) seems somewhere your doing a operation where element types don't match, (not in an autocast?), sadly its crashing out at the shadergraph so…
-
My understanding is: subsampling is recommended so that Equation 4.2 of [Kong et al., 2003](https://academic.oup.com/jrsssb/article/65/3/585/7110677) , which is derived for uncorrelated samples, can b…
-
### 🐛 Describe the bug
When using torch.autocast with `dtype=torch.float16`, I observed a discrepancy between the outputs of `torch.nn.functional.linear(x, weight, bias)` and the manual computation `…
-
### 🐛 Describe the bug
Original discussion: https://github.com/pytorch/pytorch/pull/126635
I found some inputs that cause massive ( > 25 max abs err) for channels last (CL) GroupNorm (GN) when run…
-
* UltraNest version: 4.3.4
* Python version: 3.11
* Operating System: Ubuntu 24.04
### Summary
I have been experimenting with warm starting on a toy problem, and I found some strange behaviour…
-
**Describe the bug**
The bias-tee option is missing for the "RTL-SDR device (via rtl_tcp)" device settings
**To Reproduce**
Connect to rtl_tcp, look in to the rtl_tcp output, when connecting, it …
-
https://github.com/facebookincubator/ml_sampler/blob/bbed79cf0926ea7957a99ff99cd5b84b9c933662/ml_sampler/biased_sample.py#L57
Argument `replace=True` in `np.random.choice` makes the samples not uni…
-
*Note: this post centers women in the discussion because this is what the feedback I've received was about, but the same issue applies to any minoritized segment of the developer community, whether BI…