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Minor copy-edit on README

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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/10931

Reviewed By: cpuhrsch

Differential Revision: D9526248

fbshipit-source-id: 2401a0c1cd8c5e680c6d2b885298fa067d08f2c3
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Edward Yang 2018-08-27 21:03:38 -07:00 committed by Facebook Github Bot
parent de9cc98e66
commit de099564e3
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2
CONTRIBUTING.md
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@ -23,7 +23,7 @@ If you are not familiar with creating a Pull Request, here are some guides:
To develop PyTorch on your machine, here are some tips:
1. Uninstall all existing pytorch installs
1. Uninstall all existing PyTorch installs:
```
conda uninstall pytorch
pip uninstall torch

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README.md
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@ -105,8 +105,7 @@ We hope you never spend hours debugging your code because of bad stack traces or
PyTorch has minimal framework overhead. We integrate acceleration libraries
such as Intel MKL and NVIDIA (cuDNN, NCCL) to maximize speed.
At the core, its CPU and GPU Tensor and neural network backends
(TH, THC, THNN, THCUNN) are written as independent libraries with a C99 API.
They are mature and have been tested for years.
(TH, THC, THNN, THCUNN) are mature and have been tested for years.
Hence, PyTorch is quite fast – whether you run small or large neural networks.