benchmark

70ea2935 - reorganize imports to make model_analyzer more independent. (#1000)

reorganize imports to make model_analyzer more independent. (#1000) Summary: From now, the model analyzer could be copied and imported more independently and easily. To integrate model_analyzer to your own project, you can copy the folder https://github.com/pytorch/benchmark/tree/main/components/model_analyzer to your project, and follow the example below. ```python from .model_analyzer.TorchBenchAnalyzer import ModelAnalyzer # create an instance model_analyzer = ModelAnalyzer() model_analyzer.set_export_csv_name("all_records.csv") # FLOPS related gpu metric is enabled by default while others not model_analyzer.add_mem_throughput_metrics() # DCGM will be connected after this function model_analyzer.start_monitor() # your own code to profile run_app() # stop and aggregate the profiling results model_analyzer.stop_monitor() model_analyzer.aggregate() model_analyzer.export_all_records_to_csv() tflops = model_analyzer.calculate_flops() print('{:<20} {:>20}'.format("FLOPS:", "%.4f TFLOPs per second" % tflops, sep='')) ``` Pull Request resolved: https://github.com/pytorch/benchmark/pull/1000 Reviewed By: xuzhao9 Differential Revision: D37498346 Pulled By: FindHao fbshipit-source-id: ef1d3efe5a5ef502e5109c70bb98558b7c008e11