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[https://nvbugs/6422343][fix] Retain the CPU source tensor as self._flash_mla_src_block_ids_cpu on the…
#16071
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This retains the buffer only until the next
prepare_flash_mla()call, which rebinds the attribute and drops the last reference. If the described hazard is real — back-to-back calls during capture freeing the source before the DMA lands — this moves the window by exactly one call rather than closing it: call N's buffer is still released while its copy may be in flight, and the allocator can hand that block back to call N+1'spin_memory().Also, tensors from
pin_memory()come from PyTorch's caching host allocator, which records a stream event on free and won't reuse a block until the event completes. So the premise that a plain refcount drop can corrupt an in-flight H2D needs evidence, not just plausibility. Please point at the mechanism that defeats that guard here (e.g. behavior under graph capture), or state that the sequence was actually observed.If you want a fix that's robust by construction rather than by lifetime accounting, allocate a persistent pinned staging buffer on the metadata once,
copy_into it, and issue the non-blocking H2D from that — no per-call allocation, no lifetime question.