class_docstr: Positional dropping used in MSN (https://arxiv.org/pdf/2204.07141.pdf)
code: def pretraining_config(num_epochs: int = 2, gpu_count: int = 2):
      cfg = compose_hydra_configuration(
          [
              "config=test/integration_test/quick_msn",
              "config.DATA.TRAIN.DATA_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.LOG_FREQUENCY=1",
              "config.REPRODUCIBILITY.CUDDN_DETERMINISTIC=True",
              f"config.OPTIMIZER.num_epochs={num_epochs}",
              f"config.DISTRIBUTED.NUM_PROC_PER_NODE={gpu_count}",
          ]
      )
      _args, config = convert_to_attrdict(cfg)
      return config
  
file_path: vissl/tests/test_msn.py
imports: import unittest
  import torch
  from vissl.models import build_model
  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 TestMSN obj's underlying member method code with example usage: obj.pretraining_config(num_epochs, gpu_count) and returns: config