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Allocate kv_cache with stride order #16605
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Thanks for doing this! this is looking much better! Left a few nits, please also fix the pre-commit failures
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LGTM, thanks for the contribution!
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This pull request has merge conflicts that must be resolved before it can be |
Head branch was pushed to by a user without write access
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Can you merge from main to fix docker build? |
Signed-off-by: shuw <shuw@nvidia.com>
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Done. |
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Please check whether the failing kernels test is related to this PR |
Signed-off-by: shuw <shuw@nvidia.com>
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Only test_cache.py failure is related. Fixed by reducing tensor size to avoid OOM. The spec-decoding tests should be irrelevant. |
Signed-off-by: shuw <shuw@nvidia.com>
Signed-off-by: shuw <shuw@nvidia.com>
Signed-off-by: shuw <shuw@nvidia.com> Signed-off-by: Agata Dobrzyniewicz <adobrzyniewicz@habana.ai>
Signed-off-by: shuw <shuw@nvidia.com> Signed-off-by: Mu Huai <tianbowen.tbw@antgroup.com>
Signed-off-by: shuw <shuw@nvidia.com> Signed-off-by: Yuqi Zhang <yuqizhang@google.com>
Allow KV cache manager to support an stride order to the allocation which the attention backend could provide. Mainly affect Flashinfer backend. Ref. #8200
@tlrmchlsmth @LucasWilkinson