I wanted to know if there is any support in the tool where the user can select multiple unique labels and rename it as one label?

What I want is very similar to grouping thing which is available in the tool. But instead of selecting "n" number of labels and grouping them, I wanted to give those "n" number of selected labels a different label name.

Thanks in advance!! Please let me know if th

I have set up Postgres in Kubernetes and also setup Doccano in Kubernetes however it's working well but wants to know the mount point for Kubernetes to attach Persistence volume.

My deployment.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  labels:
    app: doccano
  name: doccano
  namespace: default
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisi

Expected Behavior

I want to convert torch.nn.Linear modules to weight drop linear modules in my model (possibly big), and I want to train my model with multi-GPUs. However, I have RuntimeError in my sample code. First, I have _weight_drop() which drops some part of weights in torch.nn.Linear (see the code below).

Actual Behavior

RuntimeError: arguments are located on different GPUs at /

I've set up an image classification task where I set "Allow multiple labels per image?" to "Yes". However, UDT (14.1 on macOS and the web version) does not seem to recognize this: the UI looks the same sa it does for single-label classification, and even when I go back to images to add additional labels to them, only the latest one I click is preserved.

Here's my task specification:

References

• https://gitter.im/colour-science/colour?at=5f622c705fde567ffa4f66f5