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https://github.com/comfyanonymous/ComfyUI.git
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pinned_memory: Use Aimdo pinner
The aimdo pinner bypasses pytorches CPU allocator which can leak windows commit charge.
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@ -38,7 +38,10 @@ def read_tensor_file_slice_into(tensor, destination):
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file_obj.seek(info.offset)
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done = 0
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while done < info.size:
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n = file_obj.readinto(view[done:])
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try:
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n = file_obj.readinto(view[done:])
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except OSError:
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return False
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if n <= 0:
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return False
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done += n
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@ -1,6 +1,7 @@
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import torch
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import comfy.model_management
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import comfy.memory_management
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import comfy_aimdo.host_buffer
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import comfy_aimdo.torch
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from comfy.cli_args import args
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@ -12,18 +13,31 @@ def pin_memory(module):
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return
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#FIXME: This is a RAM cache trigger event
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size = comfy.memory_management.vram_aligned_size([ module.weight, module.bias ])
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pin = torch.empty((size,), dtype=torch.uint8)
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if comfy.model_management.pin_memory(pin):
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module._pin = pin
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else:
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if comfy.model_management.MAX_PINNED_MEMORY <= 0 or (comfy.model_management.TOTAL_PINNED_MEMORY + size) > comfy.model_management.MAX_PINNED_MEMORY:
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module.pin_failed = True
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return False
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try:
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hostbuf = comfy_aimdo.host_buffer.HostBuffer(size)
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except RuntimeError:
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module.pin_failed = True
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return False
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module._pin = comfy_aimdo.torch.hostbuf_to_tensor(hostbuf)
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module._pin_hostbuf = hostbuf
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comfy.model_management.TOTAL_PINNED_MEMORY += size
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return True
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def unpin_memory(module):
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if get_pin(module) is None:
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return 0
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size = module._pin.numel() * module._pin.element_size()
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comfy.model_management.unpin_memory(module._pin)
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comfy.model_management.TOTAL_PINNED_MEMORY -= size
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if comfy.model_management.TOTAL_PINNED_MEMORY < 0:
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comfy.model_management.TOTAL_PINNED_MEMORY = 0
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del module._pin
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del module._pin_hostbuf
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return size
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