diff --git a/tools/AutoTuner/src/autotuner/distributed.py b/tools/AutoTuner/src/autotuner/distributed.py
index 8bf9caba4c..87361a5fd9 100644
--- a/tools/AutoTuner/src/autotuner/distributed.py
+++ b/tools/AutoTuner/src/autotuner/distributed.py
@@ -750,13 +750,6 @@ def parse_arguments():
         default=1,
         help="Number of iterations for tuning.",
     )
-    tune_parser.add_argument(
-        "--resources_per_trial",
-        type=float,
-        metavar="<float>",
-        default=1,
-        help="Number of CPUs to request for each tunning job.",
-    )
     tune_parser.add_argument(
         "--reference",
         type=str,
@@ -1018,7 +1011,7 @@ def sweep():
             local_dir=LOCAL_DIR,
             resume=args.resume,
             stop={"training_iteration": args.iterations},
-            resources_per_trial={"cpu": args.resources_per_trial},
+            resources_per_trial={"cpu": os.cpu_count()/args.jobs},
             log_to_file=["trail-out.log", "trail-err.log"],
             trial_name_creator=lambda x: f"variant-{x.trainable_name}-{x.trial_id}-ray",
             trial_dirname_creator=lambda x: f"variant-{x.trainable_name}-{x.trial_id}-ray",
diff --git a/tools/AutoTuner/test/resume_check.py b/tools/AutoTuner/test/resume_check.py
index 5b0d2f49e6..c2c037e7bb 100644
--- a/tools/AutoTuner/test/resume_check.py
+++ b/tools/AutoTuner/test/resume_check.py
@@ -57,7 +57,7 @@ def setUp(self):
             f" {c}"
             for c in options
         ]
-        self.failCommands = []  # TODO
+
 
     def test_tune_resume(self):
         # Goal is to first run the first config (without resume) and then run the second config (with resume)