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| # Sample ``local.conf`` for user-configurable variables in ``stack.sh`` | |
| # NOTE: Copy this file to the root DevStack directory for it to work properly. | |
| # ``local.conf`` is a user-maintained settings file that is sourced from ``stackrc``. | |
| # This gives it the ability to override any variables set in ``stackrc``. | |
| # Also, most of the settings in ``stack.sh`` are written to only be set if no | |
| # value has already been set; this lets ``local.conf`` effectively override the | |
| # default values. |
svp19
/ torch_distributed.py
Created
September 15, 2020 02:24
Playground code for distributed training in PyTorch. While the docs and tutorials out there are great, I felt a simple example like this was much needed.
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| ''' | |
| Tutorial Code for distributed training in PyTorch that trains | |
| an inception_v3 model on dummy data. | |
| *Installation: * | |
| Use pip/conda to install the following libraries | |
| - torch | |
| - torchvision | |
| - argparse | |
| - tqdm |