From b833f8b989ff066a009bc98df9dc048cc3abf31c Mon Sep 17 00:00:00 2001 From: Ran Cohen Date: Thu, 28 Apr 2022 19:15:27 +0300 Subject: [PATCH 1/2] Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 132f979e13..5297c04e9d 100644 --- a/README.md +++ b/README.md @@ -5,11 +5,19 @@ This is a collection of open source benchmarks used to evaluate PyTorch performa (a) expose a standardized API for benchmark drivers, (b) optionally, enable JIT, (c) contain a miniature version of train/test data and a dependency install script. +## Pre requisits +1. install pytorch from source from this location: https://github.com/chunyuan-w/pytorch/tree/onednn-graph-preview4 +2. instgall torchvision from source (see: https://github.com/pytorch/vision) +3. instgall torchtext from source (see: https://github.com/pytorch/text) + ## Installation The benchmark suite should be self contained in terms of dependencies, except for the torch products which are intended to be installed separately so different torch versions can be benchmarked. +just run: +`python install.py` + ### Using Pre-built Packages We support python 3.7 and 3.8, and 3.8 is recommended. Currently, there are compatibility issues with 3.9+. Conda is optional but suggested. To switch to python 3.8 in conda: ``` From 2098e893c913a45fef83ce1bdf3ca45ca049c38a Mon Sep 17 00:00:00 2001 From: Ran Cohen Date: Thu, 28 Apr 2022 19:16:36 +0300 Subject: [PATCH 2/2] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5297c04e9d..1c31453aea 100644 --- a/README.md +++ b/README.md @@ -7,8 +7,8 @@ This is a collection of open source benchmarks used to evaluate PyTorch performa ## Pre requisits 1. install pytorch from source from this location: https://github.com/chunyuan-w/pytorch/tree/onednn-graph-preview4 -2. instgall torchvision from source (see: https://github.com/pytorch/vision) -3. instgall torchtext from source (see: https://github.com/pytorch/text) +2. install torchvision from source (see: https://github.com/pytorch/vision) +3. install torchtext from source (see: https://github.com/pytorch/text) ## Installation The benchmark suite should be self contained in terms of dependencies,