code: def _create_config(model_name: str):
      cfg = compose_hydra_configuration(
          [
              "config=benchmark/linear_image_classification/imagenet1k/eval_resnet_8gpu_transfer_in1k_linear",
              f"+config/test/integration_test/models={model_name}",
              "config.DATA.TRAIN.DATA_SOURCES=[synthetic]",
              "config.DATA.TRAIN.LABEL_SOURCES=[synthetic]",
              "config.DATA.TRAIN.BATCHSIZE_PER_REPLICA=4",
              "config.DATA.TRAIN.RANDOM_SYNTHETIC_IMAGES=True",
              "config.DATA.TRAIN.DATA_LIMIT=32",
              "config.DATA.TRAIN.USE_DEBUGGING_SAMPLER=True",
              "config.DATA.TEST.DATA_SOURCES=[synthetic]",
              "config.DATA.TEST.LABEL_SOURCES=[synthetic]",
              "config.DATA.TEST.BATCHSIZE_PER_REPLICA=4",
              "config.DATA.TEST.RANDOM_SYNTHETIC_IMAGES=True",
              "config.DATA.TEST.DATA_LIMIT=32",
              "config.DATA.TEST.USE_DEBUGGING_SAMPLER=True",
              "config.LOG_FREQUENCY=1",
              "config.REPRODUCIBILITY.CUDDN_DETERMINISTIC=True",
              "config.OPTIMIZER.num_epochs=10",
              "config.DISTRIBUTED.NUM_PROC_PER_NODE=2",
              "config.MODEL.WEIGHTS_INIT.PARAMS_FILE=''",
          ]
      )
      args, config = convert_to_attrdict(cfg)
      return config
  
file_path: vissl/tests/test_lin_eval.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 1 for calling the TestLinEval obj's underlying member method code with example usage: obj._create_config(model_name) and returns: config