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| author | Luke Yeager <luke.yeager@gmail.com> | 2016-04-18 08:54:21 -0700 |
|---|---|---|
| committer | Luke Yeager <luke.yeager@gmail.com> | 2016-04-18 08:54:21 -0700 |
| commit | 458928a3bc1ee94e5f12bb254a5de819c449fc0a (patch) | |
| tree | 5fd2fd15ba23098e97e8e941d25fb34594ec378c | |
| parent | 8c66fa5f3c04e36bdba11653c41d27ab638571ff (diff) | |
| download | caffeonacl-458928a3bc1ee94e5f12bb254a5de819c449fc0a.tar.gz caffeonacl-458928a3bc1ee94e5f12bb254a5de819c449fc0a.tar.bz2 caffeonacl-458928a3bc1ee94e5f12bb254a5de819c449fc0a.zip | |
Typo in docs/installation.md
| -rw-r--r-- | docs/installation.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/installation.md b/docs/installation.md index aa946911..1e29a49d 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -137,7 +137,7 @@ See [PR #1667](https://github.com/BVLC/caffe/pull/1667) for options and details. **Laboratory Tested Hardware**: Berkeley Vision runs Caffe with Titan Xs, K80s, GTX 980s, K40s, K20s, Titans, and GTX 770s including models at ImageNet/ILSVRC scale. We have not encountered any trouble in-house with devices with CUDA capability >= 3.0. All reported hardware issues thus-far have been due to GPU configuration, overheating, and the like. -**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Brew with caution; we recommend compute capbility >= 3.0. +**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Brew with caution; we recommend compute capability >= 3.0. Once installed, check your times against our [reference performance numbers](performance_hardware.html) to make sure everything is configured properly. |