code: def get_config(self):
      return SwinConfig(
          image_size=self.image_size,
          patch_size=self.patch_size,
          num_channels=self.num_channels,
          embed_dim=self.embed_dim,
          depths=self.depths,
          num_heads=self.num_heads,
          window_size=self.window_size,
          mlp_ratio=self.mlp_ratio,
          qkv_bias=self.qkv_bias,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          drop_path_rate=self.drop_path_rate,
          hidden_act=self.hidden_act,
          use_absolute_embeddings=self.use_absolute_embeddings,
          path_norm=self.patch_norm,
          layer_norm_eps=self.layer_norm_eps,
          initializer_range=self.initializer_range,
          encoder_stride=self.encoder_stride,
      )
  
imports: from __future__ import annotations
  import inspect
  import unittest
  import numpy
  from transformers import SwinConfig
  from transformers.testing_utils import require_tf, require_vision, slow, to_2tuple
  from transformers.utils import cached_property, is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the TFSwinModelTester obj's underlying member method code with example usage: obj.get_config() and returns: SwinConfig