Implementing scalar indexing for device-side sparse arrays#699
Draft
alonsoC1s wants to merge 1 commit intoJuliaGPU:masterfrom
Draft
Implementing scalar indexing for device-side sparse arrays#699alonsoC1s wants to merge 1 commit intoJuliaGPU:masterfrom
alonsoC1s wants to merge 1 commit intoJuliaGPU:masterfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR addresses #694 by implementing scalar indexing for the mentioned array types. Only scalar indexing is implemented, since doing vectorized indexing would result in dynamic allocations on the device, which is not allowed
Remaining things to be fixed:
GPUSparseDeviceMatrixCOO(re-implementing it the way CUDA.jl does it doesn't work for some reason)