[StaticRuntime] Implement StaticRuntime::benchmark (#45639)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45639
`StaticRuntime::run_individual` is to mimic the caffe2 operator benchmark `SimpleNet::TEST_Benchmark`, so we can accurate information on the operator breakdown. We found that the PyTorch AutogradProfiler adds a lot of overhead to small models, such as the adindexer precomputation_merge net, 100% for batch_size 1, 33% for batch_size 20. This implementation adds very little overhead, as shown in the test plan.
Test Plan: Test results are fb internal only.
Reviewed By: yinghai, dzhulgakov
Differential Revision: D24012088
fbshipit-source-id: f32eb420aace93e2de421a15e4209fce6a3d90f0
