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Merge branch 'main' of github.com:sbrl/research-rainfallradar

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Starbeamrainbowlabs 2024-11-14 19:09:39 +00:00
commit c82e4bf5ac
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
2 changed files with 37 additions and 8 deletions
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3
.gitignore vendored
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@ -2,6 +2,9 @@
*.out
*.log
output
*.drawio.bkp
*.bak.png
# Created by https://www.toptal.com/developers/gitignore/api/python,node,git,visualstudiocode
# Edit at https://www.toptal.com/developers/gitignore?templates=python,node,git,visualstudiocode

28
aimodel/slurm-TEST-deeplabv3p-rainfall.job
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@ -12,13 +12,28 @@
# ---> in MiB
# no-requeue: ref https://support.hull.ac.uk/tas/public/ssp/content/detail/incident?unid=652db7ac6e73485c9f7658db78b2b628
#######################################################
command_exists() {
command -v "$1" >/dev/null 2>&1
return $?;
}
#######################################################
if command_exists module; then
module load utilities/multi
module load readline/7.0
module load gcc/10.2.0
module load cuda/11.5.0
module load cuda/11.5.0;
export XLA_FLAGS="--xla_gpu_cuda_data_dir=/home/ViperAppsFiles/cuda/11.5.0"; # weird... this wasn't needed before?
module load python/anaconda/4.6/miniconda/3.7
else
echo "[bash/runner]: module command not present, not loading modules" >&2;
fi
show_help() {
@ -28,6 +43,8 @@ show_help() {
echo -e " sbatch slurm-TEST-deeplabv3p-rainfall.job" >&2;
echo -e "" >&2;
echo -e "....where:" >&2;
echo -e " USE_CONDA Optional. Set to any value to use conda when running the experiment. REQUIRED ON VIPER." >&2;
echo -e "" >&2;
echo -e " IMAGE_SIZE=128 Optional. Sets the size of the 'images' that the DeepLabV3+ model will work with." >&2;
echo -e " BATCH_SIZE=64 Optional. Sets the batch size to train the model with." >&2;
echo -e " DIR_RAINFALLWATER The path to the directory the .tfrecord files containing the rainfall radar / water depth data." >&2;
@ -82,8 +99,17 @@ export PATH=$HOME/software/bin:$PATH;
export IMAGE_SIZE BATCH_SIZE DIR_RAINFALLWATER PATH_HEIGHTMAP PATH_COLOURMAP STEPS_PER_EPOCH DIR_OUTPUT PATH_CHECKPOINT EPOCHS PREDICT_COUNT NO_REMOVE_ISOLATED_PIXELS LOSS LEARNING_RATE DICE_LOG_COSH WATER_THRESHOLD UPSAMPLE STEPS_PER_EXECUTION JIT_COMPILE RANDSEED PREDICT_AS_ONE SPLIT_VALIDATE SPLIT_TEST;
echo ">>> Installing requirements";
if [[ -n "${USE_CONDA}" ]]; then
conda run -n py38 pip install -q -r requirements.txt;
else
echo "[bash/runner]: USE_CONDA env var NOT specified, not installing pip packages." >&2;
fi
echo ">>> Training model";
#shellcheck disable=SC2016
if [[ -n "${USE_CONDA}" ]]; then
/usr/bin/env time -v conda run -n py38 bash -c 'src/deeplabv3_plus_test_rainfall.py >>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.out.log" 2>>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.err.log"; echo "[slurm_runner] EXIT_CODE: $?" >>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.out.log";';
else
/usr/bin/env time -v src/deeplabv3_plus_test_rainfall.py >>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.out.log" 2>>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.err.log";
echo "[slurm_runner] EXIT_CODE: $?" >>"${DIR_OUTPUT}/experiment.${SLURM_JOB_ID}.out.log";
fi
echo ">>> exited with code $?";