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### Description This will enable a user to use a TensorRT timing cache based on #10297 to accelerate build times on a device with the same compute capability. This will work across models as it simply store kernel runtimes for specific configurations. Those files are usually very small (only a few MB) which makes them very easy to ship with an application to accelerate the build time on the user end. ### Motivation and Context Especially for workstation use cases TRT build times can be a roadblock. With a few model from ONNX model zoo i evaluated speedups when a timing cache is present. `./build/onnxruntime_perf_test -e tensorrt -I -t 5 -i "trt_timing_cache_enable|true" <onnx_path>` |Model | no Cache | with Cache| | ------------- | ------------- | ------------- | |efficientnet-lite4-11 | 34.6 s | 7.7 s| |yolov4 | 108.62 s | 9.4 s| To capture this is had to modify the onnxruntime_perf_test. The time is sometimes not captured within "Session creation time cost:" which is why i introduced "First inference time cost:". --------- Co-authored-by: Chi Lo <Chi.Lo@microsoft.com> |
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