* 增加了一些新函数以便不再需要临时的cpumasks. 两个最有用的函数是for_each_cpu_and() (对两个cpumasks的intersection的遍历)和cpu_any_but() (排除一个cpu进行操作). * 基于类似目的新增work_on_cpu()函数,目的是临时设置当前thread的cpus_allowed以便在一个特定的CPU上执行。增加该函数的原因是此时需要一...
int __pure cpumask_any_but(const struct cpumask *mask, unsigned int cpu); unsigned int cpumask_local_spread(unsigned int i, int node); int cpumask_any_and_distribute(const struct cpumask *src1p, const struct cpumask *src2p); /** * for_each_cpu - iterate over every cpu in...
Pull request #1293 adds support for arena-backed CPU masks to scx_rusty, but depends on yet-unmerged upstream fixes and features to function properly. This means we cannot merge yet without breakin...
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Just tested the ol' Unsharp Mask. Didn't get any tint effects at all, and I was checking over plus masked sections of a clip in different colors of that clip. With both transmit out to my ref monitor and the scopes up ... no shift in Vectorscope or RGB Parade with U-S Mask...
I use the PPOTrainer on Mixtral with 8 GPUs whose CUDA version is 12.4. Would you happen to have any idea about solving the following issue? (Also, I have updated all python packages) Here is the error message, I guess the error happens ...
But when I do the same steps for CUDA, it fails in "torch::jit::IValue output = module.forward(inputs); " step without any error message. Code for GPU is given below : import torch import torchvision import torchvision.models.detection ...