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# Tutorial: distributed strategies for Tensorflow | ||
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In this tutorial we show how to use Tensorflow `MultiWorkerMirroredStrategy`. | ||
Note that the environment is tested on the HDFML system at JSC. | ||
For other systems, the module versions might need change accordingly. | ||
Other strategies will be updated here. | ||
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First, from the root of this repository, build the environment containing | ||
Tensorflow. You can *try* with: | ||
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```bash | ||
# Creates a Python venv called envAItf_hdfml | ||
make tf-gpu-jsc | ||
``` | ||
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If you want to distribute the code in `train.py`, run from terminal: | ||
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```bash | ||
sbatch tfmirrored_slurm.sh | ||
``` |