My actions before raising this issue

• Read/searched the docs
• Searched past issues

Expected Behaviour

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 /

Add a way to change the sample id output in the annotation process to a specific number (see picture).

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to