Add ML benchmark for imaging calorimetry

benchmarks/imaging_shower_ML/config.yml

-ml_shower:tagging :
+ml_shower:tagging_epi :
   extends: .rec_benchmark
+  when: manual
+  stage: process
+  timeout: 8 hour
+  script:
+    - python3 benchmarks/imaging_shower_ML/sim_rec_tag.py -t imshower -n 10000 --particles "electron,pion-,pion-" --pmin 0.5 --pmax 10
+
+
+ml_shower:tagging_e :
+  extends: .rec_benchmark
+  when: manual
   stage: process
   timeout: 8 hour
   script:
     - python3 benchmarks/imaging_shower_ML/sim_rec_tag.py -t imshower -n 10000 --particles "electron" --pmin 0.5 --pmax 10
 
+ml_shower:tagging_pi :
+  extends: .rec_benchmark
+  when: manual
+  stage: process
+  timeout: 8 hour
+  script:
+    - python3 benchmarks/imaging_shower_ML/sim_rec_tag.py -t imshower -n 10000 --particles "pion-" --pmin 0.5 --pmax 10
+
 ml_shower:training:
   extends: .rec_benchmark
+  when: manual
   stage: process
   needs: ["ml_shower:tagging"]
   script:
@@ -15,8 +34,9 @@ ml_shower:training:
 
 ml_shower:test:
   extends: .rec_benchmark
+  when: manual
   stage: collect
-  needs: ["ml_shower:tagging"]
+  needs: ["ml_shower:training"]
   script:
     - ls -lrth
     # TODO