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macOS 15.0 (24A335) M1 buffer is not large enough and resource_tracker: There appear to be %d #107

@guoreex

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@guoreex

I'm not sure if this question is appropriate to ask here, I'm not a professional programmer, if anyone is willing to offer help and guidance, I would be very grateful.

Two weeks ago, I started using the GGUF model, and it can work normally. Today, I upgraded the system of the MacBook pro m1 computer to the latest version of macOS 15.0 (24A335). An error prompt occurred when running GGUF workflow in comfyUI:

huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
/AppleInternal/Library/BuildRoots/5a8a3fcc-55cb-11ef-848e-8a553ba56670/Library/Caches/com.apple.xbs/Sources/MetalPerformanceShaders/MPSCore/Types/MPSNDArray.mm:891: failed assertion `[MPSNDArray, initWithBufferImpl:offset:descriptor:isForNDArrayAlias:isUserBuffer:] Error: buffer is not large enough. Must be 63700992 bytes
'/Users/***/lib/python3.11/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '

My system information:
Python version: 3.11.5 (main, Sep 11 2023, 08:31:25) [Clang 14.0.6 ]
pytorch version: 2.6.0.dev20240916
ComfyUI Revision: 2701 [7183fd16] | Released on '2024-09-17'

I didn't know if this is related to updating the system.
thx

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