[Sparse] Support high order gradient for SpMM and SDDMM.
- Dominant language
- Python
- Stars
- 14.3k
- Forks
- 3.1k
- PR merge metrics
- No merged PRs in 30d
Description
## 🔨Work Item
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* DO NOT create a new work item if the purpose is to fix an existing issue or feature request. We will directly use the issue in the project tracker.
Project tracker: https://github.com/orgs/dmlc/projects/2
## Description
## Depending work items or issues
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names sparse SpMM and SDDMM but provides no files, tests, or implementation entry points. Start by locating the existing gradient handling for these operations and determine what high-order gradient support should cover. Done means the required high-order gradients work for both SpMM and SDDMM, with corresponding tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100