code: def __init__(
      self,
      num_channels=3,
      patch_sizes=[7, 3, 3],
      patch_stride=[4, 2, 2],
      patch_padding=[2, 1, 1],
      embed_dim=[64, 192, 384],
      num_heads=[1, 3, 6],
      depth=[1, 2, 10],
      mlp_ratio=[4.0, 4.0, 4.0],
      attention_drop_rate=[0.0, 0.0, 0.0],
      drop_rate=[0.0, 0.0, 0.0],
      drop_path_rate=[0.0, 0.0, 0.1],
      qkv_bias=[True, True, True],
      cls_token=[False, False, True],
      qkv_projection_method=["dw_bn", "dw_bn", "dw_bn"],
      kernel_qkv=[3, 3, 3],
      padding_kv=[1, 1, 1],
      stride_kv=[2, 2, 2],
      padding_q=[1, 1, 1],
      stride_q=[1, 1, 1],
      initializer_range=0.02,
      layer_norm_eps=1e-12,
      **kwargs,
  ):
      super().__init__(**kwargs)
      self.num_channels = num_channels
      self.patch_sizes = patch_sizes
      self.patch_stride = patch_stride
      self.patch_padding = patch_padding
      self.embed_dim = embed_dim
      self.num_heads = num_heads
      self.depth = depth
      self.mlp_ratio = mlp_ratio
      self.attention_drop_rate = attention_drop_rate
      self.drop_rate = drop_rate
      self.drop_path_rate = drop_path_rate
      self.qkv_bias = qkv_bias
      self.cls_token = cls_token
      self.qkv_projection_method = qkv_projection_method
      self.kernel_qkv = kernel_qkv
      self.padding_kv = padding_kv
      self.stride_kv = stride_kv
      self.padding_q = padding_q
      self.stride_q = stride_q
      self.initializer_range = initializer_range
      self.layer_norm_eps = layer_norm_eps
  
imports: from ...configuration_utils import PretrainedConfig
  from ...utils import logging
label_desc: Use image node_id 1 to create a new CvtConfig object from inherited base classes: PretrainedConfig with example: obj = CvtConfig(num_channels, patch_sizes, patch_stride, patch_padding, embed_dim, num_heads, depth, mlp_ratio, attention_drop_rate, drop_rate, drop_path_rate, qkv_bias, cls_token, qkv_projection_method, kernel_qkv, padding_kv, stride_kv, padding_q, stride_q, initializer_range, layer_norm_eps)