WIP: add workflow to run prediction on lidar-prod optimization dataset

.github/workflows/predict-for-lidar-prod-optimization.yml

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+# Workflow name
+name: "Prediction on lidar-prod optimization dataset"
+
+on:
+  # Run workflow on user request
+  workflow_dispatch:
+    inputs:
+      sampling_name:
+        description: >
+          Sampling name (nom du dataset sur lequel le modèle a été entraîné).
+          Eg. YYYYMMDD_MonBeauDataset
+        required: true
+      user:
+        description: >
+          Username, utilisé pour générer un chemin standard pour les sorties dans le
+          dossier IA du store (projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/)
+        required: true
+      checkpoint_name:
+        description: >
+          Nom du checkpoint (sans l'extension) ) utiliser pour les prédictions
+          Exemple : 20230930_60k_basic_targetted_epoch37_Myria3DV3.4.0
+        required: true
+      predict_config_name:
+        description: >
+          Nom du fichier de config de myriad utilisé pour la prédiction
+          (doit exister dans projet-LHD/IA/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/)
+          Exemple: 20230930_60k_basic_targetted_epoch37_Myria3DV3.4.0_predict_config_V3.5.0.yaml
+        required: true
+
+env:
+  WORKDIR: /var/data/LIDAR-PROD-OPTIMIZATION/
+  DATA: ${{ WORKDIR }}/20221018_lidar-prod-optimization-on-151-proto/Comparison/
+  LOGS_DIR: /var/data/MYRIA3D-SHARED-WORKSPACE/$USER/$SAMPLING_NAME/"
+
+jobs:
+  print-inputs:
+    runs-on: self-hosted
+    steps:
+      - run: |
+          echo "Run prediction on lidar-prod optimzation datasets (val and test)"
+          echo "Sampling name: ${{ github.event.inputs.sampling_name }}"
+          echo "User name: ${{ github.event.inputs.user }}"
+          echo "checkpoint name ${{ github.event.inputs.checkpoint_name }}"
+          echo "predict_config_name name ${{ github.event.inputs.predict_config_name }}"
+          echo "workdir: ${{env.WORKDIR}}"
+          echo "workdir: ${{env.DATA}}"
+          echo "workdir: ${{env.LOG_DIR}}"
+
+  # predict-validation-dataset:
+  #   runs-on: self-hosted
+
+  #   steps:
+  #     - name: Checkout branch
+  #       uses: actions/checkout@v4
+
+  #     # See https://github.com/marketplace/actions/setup-micromamba
+  #     - name: setup-micromamba
+  #       uses: mamba-org/[email protected]
+  #       with:
+  #         environment-file: environment.yml
+  #         environment-name: myria3d  # activate the environment
+  #         cache-environment: true
+  #         cache-downloads: true
+  #         generate-run-shell: true
+
+  #       - name: Run prediction on validation dataset
+  #         run: >
+  #           python run.py
+  #           --config-path ${LOGS_DIR}
+  #           --config-name ${LOGS_DIR}${PREDICT_CONFIG_NAME}
+  #           task.task_name=predict
+  #           predict.src_las=${DATA}/val/*.laz
+  #           model.ckpt_path=${LOGS_DIR}${CHECKPOINT_NAME}.ckpt
+  #           predict.output_dir=${WORKDIR}/${SAMPLING_NAME}/preds-valset/
+  #           predict.interpolator.probas_to_save=[building]
+  #           predict.gpus=[0]