onnxruntime

Improve perf for stage3 training (#18099)

### Improve perf for stage3 training - first wave

Port existing PythonOp/PythonOpGrad python runner to C++, also introduce
an unsafe run mode (to skip inplace, save for backward, materrialized
grad detection on the fly).

This reduce the overhead from XX~XXX us to X ~ lower end of XX us . In
LLAMA2 7B training with 8x32GV100, we have observed 6.7% gains over
PyTorch. (1.59 v.s. 1.49it/s)

Peak memory also dropped from 31GB to 28GB.

### Motivation and Context
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