class_docstr: Integrations tests that should be run on 8 GPUs nodes.
  
  Tests that the RegNet10B trained for SEER still works:
  https://arxiv.org/abs/2202.08360
code: def _create_10B_evaluation_config(
      num_gpus: int,
      num_steps: int,
      batch_size: int,
      path_to_sliced_checkpoint: str,
  ):
      data_limit = num_steps * batch_size * num_gpus
      cfg = compose_hydra_configuration(
          [
              "config=benchmark/linear_image_classification/clevr_count/eval_resnet_8gpu_transfer_clevr_count_linear",
              "+config/benchmark/linear_image_classification/clevr_count/models=regnet10B",
              f"config.MODEL.WEIGHTS_INIT.PARAMS_FILE={path_to_sliced_checkpoint}",
              "config.MODEL.AMP_PARAMS.USE_AMP=True",
              "config.MODEL.AMP_PARAMS.AMP_TYPE=pytorch",
              "config.OPTIMIZER.num_epochs=1",
              "config.LOG_FREQUENCY=1",
              # Testing on fake images
              "config.DATA.TRAIN.DATA_SOURCES=[synthetic]",
              "config.DATA.TRAIN.LABEL_SOURCES=[synthetic]",
              "config.DATA.TRAIN.RANDOM_SYNTHETIC_IMAGES=True",
              "config.DATA.TRAIN.USE_DEBUGGING_SAMPLER=True",
              "config.DATA.TEST.DATA_SOURCES=[synthetic]",
              "config.DATA.TEST.LABEL_SOURCES=[synthetic]",
              "config.DATA.TEST.RANDOM_SYNTHETIC_IMAGES=True",
              "config.DATA.TEST.USE_DEBUGGING_SAMPLER=True",
              # Disable overlap communication and computation for test
              "config.MODEL.FSDP_CONFIG.FORCE_SYNC_CUDA=True",
              # Testing on 8 V100 32GB GPU only
              f"config.DATA.TRAIN.BATCHSIZE_PER_REPLICA={batch_size}",
              f"config.DATA.TRAIN.DATA_LIMIT={data_limit}",
              "config.DISTRIBUTED.NUM_NODES=1",
              f"config.DISTRIBUTED.NUM_PROC_PER_NODE={num_gpus}",
              "config.DISTRIBUTED.RUN_ID=auto",
          ]
      )
      args, config = convert_to_attrdict(cfg)
      return config
  
file_path: vissl/tests/test_regnet_fsdp_10b.py
imports: import unittest
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict
  from vissl.utils.test_utils import gpu_test, in_temporary_directory, run_integration_test
label_desc: Use image node_id 3 for calling the TestRegnet10B obj's underlying member method code with example usage: obj._create_10B_evaluation_config(num_gpus, num_steps, batch_size, path_to_sliced_checkpoint) and returns: config