dataset

Hi community

This message is to clarify and make transparent the current situation of Public APIs, in addition to demonstrating the frustration of us maintainers. So read this if you find it interesting, please.

Well, I keep the Public APIs project together with other 3 developers (@pawelborkar, @marekdano and @yannbertrand) for a long time.

1 year ago, the Public APIs project was dead, w

Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.

To Reproduce

My actions before raising this issue

• Read/searched the docs
• Searched past issues

Expected Behaviour

I want to access the traefik dashboard. I have cvat setup on a server with https. I modified the docker-compose.https.yml according to the comment for using the traefik dashboard. So included the lin

How to reproduce the behaviour

The error occurs in the Step 5/9 of the docker build process

fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/community/x86_64/APKINDEX.tar.gz
WARNING: Ignoring http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz: BAD signature
WARNING: Ignoring http

🚀 Feature

Motivation

torchtext provide several open source nlp datasets in raw form. These datasets are provide as Iterables. Although there are times when user may prefer map-style datase

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 /