code: def __init__(
      self,
      parent,
      batch_size=13,
      image_size=64,
      num_channels=3,
      embed_dim=[16, 48, 96],
      num_heads=[1, 3, 6],
      depth=[1, 2, 10],
      patch_sizes=[7, 3, 3],
      patch_stride=[4, 2, 2],
      patch_padding=[2, 1, 1],
      stride_kv=[2, 2, 2],
      cls_token=[False, False, True],
      attention_drop_rate=[0.0, 0.0, 0.0],
      initializer_range=0.02,
      layer_norm_eps=1e-12,
      is_training=True,
      use_labels=True,
      num_labels=2,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.image_size = image_size
      self.patch_sizes = patch_sizes
      self.patch_stride = patch_stride
      self.patch_padding = patch_padding
      self.is_training = is_training
      self.use_labels = use_labels
      self.num_labels = num_labels
      self.num_channels = num_channels
      self.embed_dim = embed_dim
      self.num_heads = num_heads
      self.stride_kv = stride_kv
      self.depth = depth
      self.cls_token = cls_token
      self.attention_drop_rate = attention_drop_rate
      self.initializer_range = initializer_range
      self.layer_norm_eps = layer_norm_eps
  
imports: import inspect
  import unittest
  from math import floor
  import numpy
  from transformers import CvtConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  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
label_desc: Use image node_id 1 to create a new TFCvtModelTester object  with example: obj = TFCvtModelTester(parent, batch_size, image_size, num_channels, embed_dim, num_heads, depth, patch_sizes, patch_stride, patch_padding, stride_kv, cls_token, attention_drop_rate, initializer_range, layer_norm_eps, is_training, use_labels, num_labels)