class_docstr: Test the VISSL SwinT implementation against the official implementation of:
  https://github.com/microsoft/Swin-Transformer/blob/main/models/swin_transformer.py
  
  As of today, April 2022, the VISSL implementation is more flexible and allows
  input multiple resolutions without requiring up-sampling / down-sampling.
code: def vissl_swin_transformer_config():
      cfg = compose_hydra_configuration(
          [
              "config=test/integration_test/quick_dino_swin_t",
              "config.MODEL.TRUNK.NAME=swin_transformer",
              "config.MODEL.TRUNK.SWIN_TRANSFORMER.DROP_PATH_RATE=0.0",
          ]
      )
      args, config = convert_to_attrdict(cfg)
      return config
  
file_path: vissl/tests/test_swin_t.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
label_desc: Use image node_id 2 for calling the TestSwinT obj's underlying member method code with example usage: obj.vissl_swin_transformer_config() and returns: config