* Typo

* Update docs/source/performance.rst

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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Tejasvi S Tomar 2020-07-10 19:11:28 +05:30 committed by GitHub
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@ -24,7 +24,7 @@ some references, [`1 <https://discuss.pytorch.org/t/guidelines-for-assigning-num
.. warning:: Increasing num_workers will ALSO increase your CPU memory consumption.
The best thing to do is to increase the nun_workers slowly and stop once you see no more improvement in your training speed.
The best thing to do is to increase the `num_workers` slowly and stop once you see no more improvement in your training speed.
Spawn
^^^^^
@ -94,4 +94,4 @@ However, know that 16-bit and multi-processing (any DDP) can have issues. Here a
# will see what the error is
CUDA_LAUNCH_BLOCKING=1 python main.py
We also recommend using 16-bit native found in PyTorch 1.6. Just install this version and Lightning will automatically use it.
We also recommend using 16-bit native found in PyTorch 1.6. Just install this version and Lightning will automatically use it.