src/transformers/models/lxmert/configuration_lxmert.py/LxmertConfig/__init__
class LxmertConfig:    def __init__(
        self,
        vocab_size=30522,
        hidden_size=768,
        num_attention_heads=12,
        num_qa_labels=9500,
        num_object_labels=1600,
        num_attr_labels=400,
        intermediate_size=3072,
        hidden_act="gelu",
        hidden_dropout_prob=0.1,
        attention_probs_dropout_prob=0.1,
        max_position_embeddings=512,
        type_vocab_size=2,
        initializer_range=0.02,
        layer_norm_eps=1e-12,
        pad_token_id=0,
        l_layers=9,
        x_layers=5,
        r_layers=5,
        visual_feat_dim=2048,
        visual_pos_dim=4,
        visual_loss_normalizer=6.67,
        task_matched=True,
        task_mask_lm=True,
        task_obj_predict=True,
        task_qa=True,
        visual_obj_loss=True,
        visual_attr_loss=True,
        visual_feat_loss=True,
        output_attentions=False,
        output_hidden_states=False,
        **kwargs,
    ):
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.num_attention_heads = num_attention_heads
        self.hidden_act = hidden_act
        self.intermediate_size = intermediate_size
        self.hidden_dropout_prob = hidden_dropout_prob
        self.attention_probs_dropout_prob = attention_probs_dropout_prob
        self.max_position_embeddings = max_position_embeddings
        self.type_vocab_size = type_vocab_size
        self.initializer_range = initializer_range
        self.layer_norm_eps = layer_norm_eps
        self.num_qa_labels = num_qa_labels
        self.num_object_labels = num_object_labels
        self.num_attr_labels = num_attr_labels
        self.l_layers = l_layers
        self.x_layers = x_layers
        self.r_layers = r_layers
        self.visual_feat_dim = visual_feat_dim
        self.visual_pos_dim = visual_pos_dim
        self.visual_loss_normalizer = visual_loss_normalizer
        self.task_matched = task_matched
        self.task_mask_lm = task_mask_lm
        self.task_obj_predict = task_obj_predict
        self.task_qa = task_qa
        self.visual_obj_loss = visual_obj_loss
        self.visual_attr_loss = visual_attr_loss
        self.visual_feat_loss = visual_feat_loss
        self.output_hidden_states = output_hidden_states
        self.output_attentions = output_attentions
        self.num_hidden_layers = {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
        super().__init__(**kwargs)