cuda : fix defrag with quantized KV #9319
Merged
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Outdated suggestions cannot be applied.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.
There were several issues with KV defragmentation with quantized KV:
ggml_cpy
from quant to quant, which was not supported in the CUDA backendggml_backend_sched
cannot fallback to the CPU backend either when the destination is pre-allocated, which was not correctly detectedThis fixes the issues in
ggml_backend_sched
and adds support to the CUDA backend forggml_cpy
when the types are the same and the tensors are contiguous (usingcudaMemcpyAsync
).Other backends may also be affected.
Fixes #9314