It was my first time doing an NLP task / implementing a RNN and I was using the torchtext library to load and do sentiment analysis on the IMDB dataset. I was able to use collate_fn and batch_sampler and create a DataLoader but it gets exhausted after a single epoch. I’m not sure if this is the expected behavior, if it is then do I need to initialize a new DataLoader for every epoch? If not is something wrong with my implementation, please provide me the correct way to implement the same.

PS. I was following the official changelog() of torchtext from github

You can find my implementation here

changelog - https://github.com/pytorch/text/...

My implementation - https://colab.research.google.com/d...

I need to position circles on a curve in a HTML page, the number of circles can be variable (a minimum of 3 and a maximum of 7) and these should be spaced equally. Each circle is a clickable element that has some functionality, and also just hovering on these circles should show a thumbnail right beside them.

https://i.stack.imgur.com/jC3gE.png

As shown in the above image. The whole design consists of 2 of these curves one on the left and one on the right(I cannot put the whole design here sorry) one approach I can think of is rendering the curve as an SVG and then position the beads (circles) on them but I cannot think of any way to position those elements exactly on the svg. Any kind of help or code which achieves this functionality is a huge help.

Note: I am using Angular, if there's a nice way to do the same in Angular I'd be pretty delighted. I know that this isn't the right place to ask this but any help would be greatly appreciated.

Thanks in Advance

Beep boop! Morppp!

Hello World!
This is my first post on DevRant. I'd be glad if you'd help me get an Avatar XD