My actions before raising this issue

• Read/searched the docs
• Searched past issues

Expected Behaviour

Hi,

As title described. I think this feature will be helpful when:

• managing projects programmatically
• integrating doccano with other jobs/services.

Here are my thoughts:

UI:

DB Models:
add one more t

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