Prevent CUDA-enabled MPI from checking for CUDA devices - gpu

Question

The OpenMPI 4.0.5 on our cluster is built with CUDA support, but I want to benchmark pnetcdf without needing CUDA for that. Since I want to do a number of test runs that I can start on like 1/4th of a node and my tests won't make use of the GPUs I wanted to ask if there is a way to suppress the MPI check for CUDA devices. Because when I simply obtain a SLURM allocation without GPUs, I get lots of errors from that alone.
These errors come from hwloc, and can be suppressed with HWLOC_HIDE_ERRORS=1 but I'd like to know if there is a more specific method.
Steps to reproduce:
frontend$ salloc -n 16 -t 8:00:00 -A k20200
node$ exec bash -l
node$ module load gcc openmpi
node$ mpicc -o /tmp/hello ~/usr/src/helloworld_mpi.c
node$ srun -n 1 /tmp/hello
CUDA: Failed to get number of devices with cudaGetDeviceCount(): no CUDA-capable device is detected
Hello world!, I'm rank 0 of 1!
node$ HWLOC_HIDE_ERRORS=1 srun -n 1 /tmp/hello
Hello world!, I'm rank 0 of 1!
node$ logout
The example code used above is the following but any program without CUDA use is equally useful in this exercise
#include <stdio.h>
#include <stdlib.h>
#include <mpi.h>
#define xmpi(rc) \
do { \
int err = (rc); \
if (err != MPI_SUCCESS) { \
char msg[MPI_MAX_ERROR_STRING + 1]; \
int msg_len; \
\
if (MPI_Error_string(err, msg, &msg_len) \
== MPI_SUCCESS){ \
msg[msg_len] = '\0'; \
\
fprintf(stderr, \
"Problem in MPI call: %d = %s\n", \
err, msg); \
MPI_Abort(MPI_COMM_WORLD, 1); \
} \
} \
} while (0)
int
main(int argc, char *argv[])
{
xmpi(MPI_Init(&argc, &argv));
int rank, size;
xmpi(MPI_Comm_rank(MPI_COMM_WORLD, &rank));
xmpi(MPI_Comm_size(MPI_COMM_WORLD, &size));
printf("Hello world!, I'm rank %d of %d!\n", rank, size);
xmpi(MPI_Finalize());
return EXIT_SUCCESS;
}