With pytorch, we can use torch.set_num_threads() to control CPU parallelization, but I don’t know what torch.set_num_threads() corresponds to in libtorch or how to control cpu parallelization in libtorch？Does anyone know？
I have tried to use omp_set_num_threads(), but there’s no effect.（In the test of inference with resnet on cpu, using set_num_threads in python to set differenct number of threads can get differenct cpu usage）