[OLD] [KV Offload] Bypass power-of-2 rounding in KV offload CPU pinned allocation - #7
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…cation PyTorch's CUDACachingHostAllocator rounds every pin_memory=True allocation up to the next power of 2 (e.g. 33 GiB -> 64 GiB). In CPUOffloadingWorker this caused each TP worker to allocate far more host memory than requested when kv_offloading_size was not an exact power of 2 per rank, leading to OOM on memory-constrained machines. Fix: allocate non-pinned first, then pin via cudaHostRegister to bypass the caching allocator, matching what SimpleCPUOffloadWorker already does. Signed-off-by: Procr <193802945+procr1337@users.noreply.github.com>
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Upstream at vllm-project#48436 - closed in favor of vllm-project#50094
Also included in gg v20 - local-inference-lab#217