Add ML benchmark for imaging calorimetry

benchmarks/imaging_shower_ML/sim_rec_tag.py

@@ -38,6 +38,7 @@ tag_dir = os.path.join('tag_data', '{nametag}_{pmin}_{pmax}'.format(**kwargs))
 os.makedirs(tag_dir, exist_ok=True)
 
 procs = [p.strip() for p in args.process.split(',')]
+sdir = os.path.dirname(os.path.realpath(__file__))
 
 if 'sim' in procs:
     # generate particles
@@ -60,6 +61,7 @@ if 'sim' in procs:
     if args.seed > 0:
         sim_cmd += ['--random.seed', args.seed]
     return_code = subprocess.run(sim_cmd).returncode
+    print(return_code)
     if return_code is not None and return_code < 0:
         print("ERROR running simulation!")
         exit(return_code)
@@ -76,8 +78,9 @@ if 'rec' in procs:
     os.environ['IMCAL_ML_N_HITS'] = '{}'.format(args.nhit)
 
     juggler_xenv = os.path.join(os.environ.get('JUGGLER_INTALL_PREFIX', '../local'), 'Juggler.xenv')
-    rec_cmd = ['xenv', '-x', juggler_xenv, 'gaudirun.py', 'options/imaging_ml_data.py']
+    rec_cmd = ['xenv', '-x', juggler_xenv, 'gaudirun.py', os.path.join(sdir, 'options', 'imaging_ml_data.py')]
     return_code = subprocess.run(rec_cmd).returncode
+    print(return_code)
     if return_code is not None and return_code < 0:
         print("ERROR running juggler (reconstruction)!")
         exit(return_code)
@@ -85,10 +88,11 @@ if 'rec' in procs:
 
 
 if 'tag' in procs:
-    tag_cmd = ['python', 'scripts/prepare_tf_dataset.py', rec_file,
+    tag_cmd = ['python', os.path.join(sdir, 'scripts', 'prepare_tf_dataset.py'), rec_file,
             '-o', tag_dir,
             '--shape', '{nlayer},{nhit},3'.format(**kwargs)]
     return_code = subprocess.run(tag_cmd).returncode
+    print(return_code)
     if return_code is not None and return_code < 0:
         print("ERROR running ML data tagging!")
         exit(return_code)