Is indexing with a variable number of indices supported?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
Research direction
Start by reading ArrayBase::slice() and the s! macro, then compare the requested variable-index behavior with the linked NumPy example. A completed investigation should establish whether ndarray supports the operation, identify a documented workaround or define what support would need to add, and update the linked Stack Overflow answer.
Written by the indexing model from the issue text.
Description
I'd like to index a tensor along all but the last axis, getting as a result a 1d view of the innermost axis. I thought I'd be able to use ArrayBase::slice() for this, but I need create the index with the s! macro and I can't figure out how to do that with a variable number of indices (such as if the user provides the coordinates of the spatial dimensions in a tensor, and I want to slice on that leaving a 1d view of the feature dimension where the feature dimension is the innermost dimension).
I asked a stack overflow question for this here, if it is indeed supported then perhaps we could add a stack overflow answer there? If not, when would support be added and is there a workaround in the meantime?
The equivalent numpy feature, which is actually slightly more general than my specific use case since I only need a view on the innermost axis, is here
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from rust-ndarray/ndarray
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
rust-ndarray/ndarray#1612 · 1 comment ·
-
Difficulty 4/5 3-5 days Newbie friendliness 48/100
rust-ndarray/ndarray#1617 · 1 comment ·
-
bug good first issue
Difficulty 3/5 1-2 days Newbie friendliness 68/100
rust-ndarray/ndarray#1615 · 1 comment ·
-
Difficulty 4/5 3-5 days Newbie friendliness 48/100
rust-ndarray/ndarray#1610 ·
-
Difficulty 3/5 1-2 days Newbie friendliness 72/100
rust-ndarray/ndarray#1609 ·
All issues in rust-ndarray/ndarray
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
kwakseongjae/auto-hwp#319 ·
-
area:cli bug filter-quality good first issue priority:medium
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
-
Difficulty 1/5 Under an hour Newbie friendliness 72/100
bevyengine/bevy#25861 ·
-
comp-datalake
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
ClickHouse/ClickHouse#121222 ·
-
enhancement remote
Difficulty 2/5 1-3 hours Newbie friendliness 68/100