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Outdated suggestions cannot be applied.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 adds support for dense shared memory workspaces on GPUs. There's still a little bit of work to be done for the case where multiple precomputed temporaries are used in one kernel, though none of the tests explicitly check this case. Would be nice to get feedback on the choice to add the GPUWorkspace enums, especially since I'm attaching them to Var (similar to is_ptr and is_ tensor, but the Var is assigned a GPUWorkspace enum). Another important question I have is whether the precomputed temporary (at least, in the GPU case) needs the loop that initializes it to zero.
Also, this PR includes some debugging functions that I set up for myself but thought might be useful to others. After generating a kernel / taco temporary file, I wanted to be able to edit the just-generated file and then compile and run everything it again with my handwritten changes.