Ranges implementation

Open
#1,266 5 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
csharp, pytorch
Domain
machine-learning

Research direction

The issue names no file, test, or implementation entry point; it only describes tensor indexing expressions such as x[.., some tensor, ..]. Start by locating TorchSharp's indexing and range-handling implementation and existing tests, then define done as supporting mixed ranges with tensor index or boolean operands.

Written by the indexing model from the issue text.

Description

Hello,
Hope this not an error with my code...
So I really like to use ranges. Lets assume tensor of 3 dimensions.
I can do x[some tensor] ....
I can do x[x<=2] ....
I can do x[..int,..,..] .....
What I cannot do is x[..,some tensor,..] ... where some tensor are indices or booleans.
Is where any way to implement this. Would be really cool because this often appears in pythonic code...

Thanks

Dominant language
C#
Stars
1.9k
Forks
228
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from dotnet/TorchSharp

All issues in dotnet/TorchSharp

Similar issues

More C# issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.