Fix wrong inputs/model placement when using a single core

[JingyaHuang]

What does this PR do?

It's a recent find that I did not experience before. Previously, when only a single neuron core was used, input tensors were allocated to the same core that the model has been loaded with torch.jit.load. But it seems that now the input tensors are always allocated to nc:0, whereas the model is loaded to a core with lower usage, so we could bump into unexpected flaky situations where they are in different cores...

2024-Oct-25 15:40:20.728276 13974:13974 ERROR  NMGR:dlr_check_tensor_set_on_same_vtpb_v2    Tensor input249 allocated on vnc 0 must be allocated on same vnc as model (1)

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