code: def get_config(self):
      return PvtConfig(
          image_size=self.image_size,
          num_channels=self.num_channels,
          num_encoder_blocks=self.num_encoder_blocks,
          depths=self.depths,
          hidden_sizes=self.hidden_sizes,
          num_attention_heads=self.num_attention_heads,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          initializer_range=self.initializer_range,
      )
  
imports: import unittest
  from transformers import is_torch_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_accelerate, require_torch, require_torch_accelerator, require_torch_fp16, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the PvtModelTester obj's underlying member method code with example usage: obj.get_config() and returns: PvtConfig