tensorflow/prerequisites-installation.md

-## Prerequisites Installation
-
-The prerequsities consists of a list of python packages as shown below. It is recommended to create a python virtual environment (either with `pyenv` or `conda`). The following packages can be installed using the `pip` package management tool:
-```
-pip install tensorflow
-pip install horovod
-pip install scikit-learn
-pip install scikit-image
-pip install pandas
-```
-Note: there is no guarantee of optimal performance when `tensorflow` is installed using `pip`. It is better if `tensorflow` is compiled from source, in which case the compiler will likely be able to take advantage of the advanced instruction sets supported by the processor (e.g., AVX512). An official build instruction can be found at https://www.tensorflow.org/install/source. Sometimes, an HPC center may have a tensorflow module optimized for their hardware, in which case the `pip install tensorflow` line can be replaced with a line like `module load <name_of_the_tensorflow_module>`.

tensorflow/testcase_medium/.gitignore

-batch_medium.slurm
-efn_b4.h5
-env_bench
-model_hvd_bw_512_B4_with_noise_n_p_4.h5
-output_bw_512.hdf5
-results-DG-medium/
-train_log.txt
-

tensorflow/testcase_medium/README.md

-Medium test case presentation
------------------------------
-
-This test case performs a training using 512X512 images, with 3 positions per image, as input.
-
-Reference time on Jean-zay with 4 nodes, 16 MPI proces, 16 GPUs, 3 positions and 100 epochs: 
-
-* For 100epochs: ~67ms/sample and 32min30s as time to solution

tensorflow/testcase_medium/prepare.sh

-#!/bin/bash
-
-if [ -z "$1" ]
-  then
-    echo "Please provide the targeted machine from:"
-    ls ../machines/
-    echo ""
-    echo "Example: ./prepare.sh jeanzay-gpu"
-    exit 1
-fi
-machine_dir="../machines/$1"
-
-cp $machine_dir/env_bench .
-cp $machine_dir/batch_medium.slurm .
-
-ln -s ../DeepGalaxy-master/output_bw_512.hdf5 .

tensorflow/testcase_medium/run.sh

-#!/bin/bash
-sbatch batch_medium.slurm 

tensorflow/testcase_medium/validate.sh

-#!/bin/bash
-
-set -e
-
-RESULT_DIR=results-DG-medium
-mkdir -p $RESULT_DIR
-
-cp dg.err dg.out $RESULT_DIR
-
-
-grep "Epoch" -A1 dg.out > $RESULT_DIR/epochs.results
-grep "Epoch 100/100" -A1 dg.out > $RESULT_DIR/last_epoch.results