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Hello! I'm a long-standing user of MPSCNN framework, it usually works fine but during the implementation of one my recent networks I started to get this errors: 2023-01-06 00:17:46.017908+0600 -[44642:879994] [GPUDebug] Invalid device load executing kernel function "cnnConvWinograd_8x8_3x3_32x32_256" encoder: "", dispatch: 0, at offset 120``` Also, strangely networks produces different results over the same inputs across multiple runs. I assume there are some race conditions inside which causes that. Is it possible to somehow enforce MPSCNN to use some other implementation of convolution? Or I'm stuck with it forever?
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Hi, all! I have a workload where I have a real-time renderer (which runs at up to 120FPS rate depending on the device's screen) and non-real-time kernel that should run in a loop but it can't handle the 60 (even 30) FPS requirement. So what I want to achieve is to create two MTLCommandQueues where the first will handle high-priority render tasks and maintain stable 120FPS rendering and the other one will be continuously fed with non-real-time kernel tasks. Can't find anything for this in the API. Is there anyway to achieve this?
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Hi! I've install 3090 into my Mac Pro and Windows 10 as a second OS. I see that my card is pretty hot as the temperature keeps around 73C with 80% fan speed. I think increasing middle front fan speed will help a lot with it. However I can't find any info on how to achieve this. Can somebody help with it?
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I see that Apple developer use Bundle.module in Resources and localization session, but it doesn't seem to be available in Xcode 12. Is that an unreleased addition, or a private extension of some sort?
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