add patch to make PyTorch v1.10.0 detect CUDA-enabled OpenMPI when using UCX-CUDA

[akesandgren]

(created using eb --new-pr)

[branfosj]

Test report by @branfosj
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
bear-pg0103u01a.bear.cluster - Linux RHEL 8.5, x86_64, Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz (icelake), 2 x NVIDIA NVIDIA A100-PCIE-40GB, 470.57.02, Python 3.6.8
See https://gist.github.com/2d9d09fbabf83b2f71c80db5dedbfa22 for a full test report.

[lexming]

Test report by @lexming
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
node400.hydra.os - Linux centos linux 7.9.2009, x86_64, AMD EPYC 7282 16-Core Processor, 1 x NVIDIA NVIDIA A100-PCIE-40GB, 470.82.01, Python 2.7.5
See https://gist.github.com/08ed7e59a2e63df6fcfcb69e8500d3e0 for a full test report.

[lexming]

I fixed the failed test on my side. Since it is not related to the changes in this PR, I'll open another one with my patch.

[lexming]

Fix for my failed test in #15073

[jfgrimm]

As decided in issue #16330, we have deprecated the use of True to signify a system-toolchain dependency (#16384), in favour of the more intuitive SYSTEM template constant. Due to the change in the test suite, please run eb --sync-pr-with-develop 14496 and update the PR to use SYSTEM instead.

[boegel]

Using deprecated toolchain (https://docs.easybuild.io/policies/toolchains), and hasn't received any attention in a while, so closing.

@akesandgren If this is still relevant, please consider opening a new pull request using a more recent toolchain