How does the Python Backend create multiple instances with instance_kind: count setting?

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Does the python backend load the model and fork to many instances? Can we configure it to use the equivalent of multiprocessing spawn mode?

I am using a custom backend to run some old caffe models but finding the throughput remaining the same when I increase the instance count, when testing with perf_analyzer. CPU and GPU are not at 100% utilisation.

I think the caffe is being imported in the parent process and somehow is shared with the child, thus only allowing sequential access.