From 6a97966fde80f9e4af892cd549b17628b7058f7b Mon Sep 17 00:00:00 2001 From: jiahangxu Date: Mon, 9 Aug 2021 11:22:38 +0800 Subject: [PATCH] fixed typo --- README.md | 2 +- docs/usage.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3444067..d464636 100644 --- a/README.md +++ b/README.md @@ -147,7 +147,7 @@ Users could get a nn-Meter IR graph by applying `model_file_to_graph` and `model To empower affordable DNN on the edge and mobile devices, hardware-aware NAS searches both high accuracy and low latency models. In particular, the search algorithm only considers the models within the target latency constraints during the search process. -Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. +Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS NAS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. To run multi-trail SPOS demo, NNI should be installed through source code by following [NNI Doc](https://nni.readthedocs.io/en/stable/Tutorial/InstallationLinux.html#installation) ```bash diff --git a/docs/usage.md b/docs/usage.md index 0859d37..093871e 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -95,7 +95,7 @@ Users could get a nn-Meter IR graph by applying `model_file_to_graph` and `model To empower affordable DNN on the edge and mobile devices, hardware-aware NAS searches both high accuracy and low latency models. In particular, the search algorithm only considers the models within the target latency constraints during the search process. -Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. +Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS NAS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. To run multi-trail SPOS demo, NNI should be installed through source code by following [NNI Doc](https://nni.readthedocs.io/en/stable/Tutorial/InstallationLinux.html#installation) ```bash