code: def get_config(self):
      return ViTMAEConfig(
          image_size=self.image_size,
          patch_size=self.patch_size,
          num_channels=self.num_channels,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          intermediate_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          is_decoder=False,
          initializer_range=self.initializer_range,
          mask_ratio=self.mask_ratio,
      )
  
imports: import inspect
  import math
  import tempfile
  import unittest
  import numpy
  from transformers import ViTMAEConfig
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 3 for calling the ViTMAEModelTester obj's underlying member method code with example usage: obj.get_config() and returns: ViTMAEConfig