code: def __init__(
      self,
      hidden_size=768,
      num_hidden_layers=12,
      num_attention_heads=12,
      intermediate_size=3072,
      hidden_act="gelu",
      hidden_dropout_prob=0.0,
      attention_probs_dropout_prob=0.0,
      initializer_range=0.02,
      layer_norm_eps=1e-12,
      image_size=224,
      patch_size=16,
      num_channels=3,
      qkv_bias=True,
      decoder_num_attention_heads=16,
      decoder_hidden_size=512,
      decoder_num_hidden_layers=8,
      decoder_intermediate_size=2048,
      mask_ratio=0.75,
      norm_pix_loss=False,
      **kwargs,
  ):
      super().__init__(**kwargs)
  
      self.hidden_size = hidden_size
      self.num_hidden_layers = num_hidden_layers
      self.num_attention_heads = num_attention_heads
      self.intermediate_size = intermediate_size
      self.hidden_act = hidden_act
      self.hidden_dropout_prob = hidden_dropout_prob
      self.attention_probs_dropout_prob = attention_probs_dropout_prob
      self.initializer_range = initializer_range
      self.layer_norm_eps = layer_norm_eps
      self.image_size = image_size
      self.patch_size = patch_size
      self.num_channels = num_channels
      self.qkv_bias = qkv_bias
      self.decoder_num_attention_heads = decoder_num_attention_heads
      self.decoder_hidden_size = decoder_hidden_size
      self.decoder_num_hidden_layers = decoder_num_hidden_layers
      self.decoder_intermediate_size = decoder_intermediate_size
      self.mask_ratio = mask_ratio
      self.norm_pix_loss = norm_pix_loss
  
imports: from ...configuration_utils import PretrainedConfig
  from ...utils import logging
label_desc: Use image node_id 1 to create a new ViTMAEConfig object from inherited base classes: PretrainedConfig with example: obj = ViTMAEConfig(hidden_size, num_hidden_layers, num_attention_heads, intermediate_size, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, initializer_range, layer_norm_eps, image_size, patch_size, num_channels, qkv_bias, decoder_num_attention_heads, decoder_hidden_size, decoder_num_hidden_layers, decoder_intermediate_size, mask_ratio, norm_pix_loss)