enable taskset core pinning in addition to numactl (#96011)
- port https://github.com/intel-innersource/frameworks.ai.pytorch.ipex-cpu/pull/740 to `run_cpu`
- use-case by https://github.com/pytorch/serve/pull/2166 where `numactl` is unavailable (e.g., requires `privileged` mode)
This PR automatically tries taskset if numactl core binding doesn't work.
Reference:
`taskset` is added to adapt to launcher use-cases such as in docker where `numactl` requires to be ran in `privileged` mode, where the `privileged` mode "wont work for deployments like sagemaker for example" as raised by TorchServe. Please see [torchserve ipex docker discussion](https://github.com/pytorch/serve/pull/1401#issuecomment-1090817704) for reference. To address such use-cases, `taskset` can be used in place of `numactl` to set core affinity. Note that, unlike `numactl`, `taskset` does not provide memory binding to local memories; however, memory binding may not be needed in these use-cases that typically do not span multi sockets. Hence we can automatically try taskset if numactl doesn't work.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/96011
Approved by: https://github.com/jgong5, https://github.com/malfet
