message: Use ResNet 20 v2 for CIFAR volume benchmark
diff: @@ -207,16 +207,66 @@ benchmarks: Dict[str, Benchmark] = {
  ),
  "vol-cifar-10-100p": Benchmark(
  tasks=[
  - VisionTask(dataset_name="cifar-10-100p-b1_000", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_005", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_010", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_015", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_020", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_025", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_030", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_035", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_040", instance_cores=16),
  - VisionTask(dataset_name="cifar-10-100p-b1_045", instance_cores=16),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_000",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_005",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_010",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_015",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_020",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_025",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_030",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_035",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_040",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  + VisionTask(
  + dataset_name="cifar-10-100p-b1_045",
  + model_name="resnet20",
  + B=16,
  + instance_cores=16,
  + ),
  ],
  aggregation_name="vol-aggregation",
  ),
  