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nntime - Simple Utilities for Timing Artificial Neural Networks\n\nWant to time some of your deep learning code, but find general-purpose profilers hard to work with? Then you are here at the right place!\n\n\u003cp align=\"center\"\u003e\u003cimg alt=\"Teaser\" src=\"doc/img/teaser.png\" width=\"600px\"\u003e\u003c/p\u003e\n\n\n- Offers an easy way to manually mark and time only relevant code\n- Auto exports all timings to a table (CSV file)\n- Timer markers can optionally include semantic call depths (not actual but uninterpretable ones) and the output will be organized by these call depths\n- Works with CPU/GPU\n- Introduces negligible overhead\n- (New in 0.1.1) Recursively times all submodules with automatic depth markers\n\nCheck out the `examples` folder for usage.\n\n## Installation\n\n[![PyPI version](https://badge.fury.io/py/nntime.svg)](https://badge.fury.io/py/nntime)\n\nInstall [PyTorch](https://pytorch.org/) and run:\n```\npip install nntime\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtli%2Fnntime","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmtli%2Fnntime","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmtli%2Fnntime/lists"}