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Hi,
I was using only the LayerNormalization from your code in mine. I didn't change anything from the code, apart from overriding the `compute_mask` function, as my input is an Embedding with `mas…
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Hi,
I encountered a situation, when I used SCTintegration seurat object,
`#Merge_seurat
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```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…