* chore: update workflow templates to v0.9.69
* Update comfyui-workflow-templates to version 0.9.70
* Downgrade comfyui-workflow-templates to 0.9.69
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Co-authored-by: Alexander Piskun <13381981+bigcat88@users.noreply.github.com>
Comfy-aimdo 0.3.0 contains several major new features.
multi-GPU support
ARM support
AMD support
Refactorings include:
Linkless architecture - linkage is now performed purely at runtime
to stop host library lookups completely and only interact with the
torch-loaded Nvidia stack.
Elimination of cudart integration on linux. Its no consistent with
windows.
Misc bugfixes and minor features.
This was doing an over-estimate of VRAM used by the async allocator when lots
of little small tensors were in play.
Also change the versioning scheme to == so we can roll forward aimdo without
worrying about stable regressions downstream in comfyUI core.
* Implement seek and read for pins
Source pins from an mmap is pad because its its a CPU->CPU copy that
attempts to fully buffer the same data twice. Instead, use seek and
read which avoids the mmap buffering while usually being a faster
read in the first place (avoiding mmap faulting etc).
* pinned_memory: Use Aimdo pinner
The aimdo pinner bypasses pytorches CPU allocator which can leak
windows commit charge.
* ops: bypass init() of weight for embedding layer
This similarly consumes large commit charge especially for TEs. It can
cause a permanement leaked commit charge which can destabilize on
systems close to the commit ceiling and generally confuses the RAM
stats.
* model_patcher: implement pinned memory counter
Implement a pinned memory counter for better accounting of what volume
of memory pins have.
* implement touch accounting
Implement accounting of touching mmapped tensors.
* mm+mp: add residency mmap getter
* utils: use the aimdo mmap to load sft files
* model_management: Implement tigher RAM pressure semantics
Implement a pressure release on entire MMAPs as windows does perform
faster when mmaps are unloaded and model loads free ramp into fully
unallocated RAM.
Make the concept of freeing for pins a completely separate concept.
Now that pins are loadable directly from original file and don' touch
the mmap, tighten the freeing budget to just the current loaded model
- what you have left over. This still over-frees pins, but its a lot
better than before.
So after the pins are freed with that algorithm, bounce entire MMAPs
to free RAM based on what the model needs, deducting off any known
resident-in-mmap tensors to the free quota to keep it as tight as
possible.
* comfy-aimdo 0.2.11
Comfy aimdo 0.2.11
* mm: Implement file_slice path for QT
* ruff
* ops: put meta-tensors in place to allow custom nodes to check geo
Comfy Aimdo 0.2.10 fixes the aimdo allocator hook for legacy cudaMalloc
consumers. Some consumers of cudaMalloc assume implicit synchronization
built in closed source logic inside cuda. This is preserved by passing
through to cuda as-is and accouting after the fact as opposed to
integrating these hooks with Aimdos VMA based allocator.
