InvokeAI/invokeai/backend/onnx
Lincoln Stein a3cb5da130
Improve RAM<->VRAM memory copy performance in LoRA patching and elsewhere (#6490)
* allow model patcher to optimize away the unpatching step when feasible

* remove lazy_offloading functionality

* allow model patcher to optimize away the unpatching step when feasible

* remove lazy_offloading functionality

* do not save original weights if there is a CPU copy of state dict

* Update invokeai/backend/model_manager/load/load_base.py

Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>

* documentation fixes requested during penultimate review

* add non-blocking=True parameters to several torch.nn.Module.to() calls, for slight performance increases

* fix ruff errors

* prevent crash on non-cuda-enabled systems

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Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
2024-06-13 17:10:03 +00:00
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onnx_runtime.py Improve RAM<->VRAM memory copy performance in LoRA patching and elsewhere (#6490) 2024-06-13 17:10:03 +00:00