
"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A					=			logging.get_logger(__name__)

__A					=			{
    # pcqm4mv1 now deprecated
    'graphormer-base': 'https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			lowerCamelCase       =						'''graphormer'''
			lowerCamelCase       =						['''past_key_values''']



			def __init__(				self	,	__UpperCAmelCase = 1	,	__UpperCAmelCase = 5_12 * 9	,	__UpperCAmelCase = 5_12 * 3	,	__UpperCAmelCase = 5_12	,	__UpperCAmelCase = 5_12	,	__UpperCAmelCase = 5_12	,	__UpperCAmelCase = 1_28	,	__UpperCAmelCase = 5	,	__UpperCAmelCase = 10_24	,	__UpperCAmelCase = "multi_hop"	,	__UpperCAmelCase = 5_12	,	__UpperCAmelCase = False	,	__UpperCAmelCase = 12	,	__UpperCAmelCase = 7_68	,	__UpperCAmelCase = 7_68	,	__UpperCAmelCase = 32	,	__UpperCAmelCase = 0.1	,	__UpperCAmelCase = 0.1	,	__UpperCAmelCase = 0.0	,	__UpperCAmelCase = False	,	__UpperCAmelCase = False	,	__UpperCAmelCase = False	,	__UpperCAmelCase = "gelu"	,	__UpperCAmelCase = None	,	__UpperCAmelCase = False	,	__UpperCAmelCase = 0	,	__UpperCAmelCase = False	,	__UpperCAmelCase = 0.0	,	__UpperCAmelCase = 8	,	__UpperCAmelCase = None	,	__UpperCAmelCase = None	,	__UpperCAmelCase = True	,	__UpperCAmelCase = True	,	__UpperCAmelCase=0	,	__UpperCAmelCase=1	,	__UpperCAmelCase=2	,	**__UpperCAmelCase	,	)					->	List[str]:
				_lowerCAmelCase								=num_classes
				_lowerCAmelCase								=num_atoms
				_lowerCAmelCase								=num_in_degree
				_lowerCAmelCase								=num_out_degree
				_lowerCAmelCase								=num_edges
				_lowerCAmelCase								=num_spatial
				_lowerCAmelCase								=num_edge_dis
				_lowerCAmelCase								=edge_type
				_lowerCAmelCase								=multi_hop_max_dist
				_lowerCAmelCase								=spatial_pos_max
				_lowerCAmelCase								=max_nodes
				_lowerCAmelCase								=num_hidden_layers
				_lowerCAmelCase								=embedding_dim
				_lowerCAmelCase								=embedding_dim
				_lowerCAmelCase								=ffn_embedding_dim
				_lowerCAmelCase								=num_attention_heads
				_lowerCAmelCase								=dropout
				_lowerCAmelCase								=attention_dropout
				_lowerCAmelCase								=layerdrop
				_lowerCAmelCase								=encoder_normalize_before
				_lowerCAmelCase								=pre_layernorm
				_lowerCAmelCase								=apply_graphormer_init
				_lowerCAmelCase								=activation_fn
				_lowerCAmelCase								=embed_scale
				_lowerCAmelCase								=freeze_embeddings
				_lowerCAmelCase								=num_trans_layers_to_freeze
				_lowerCAmelCase								=share_input_output_embed
				_lowerCAmelCase								=traceable
				_lowerCAmelCase								=q_noise
				_lowerCAmelCase								=qn_block_size

				# These parameters are here for future extensions
				# atm, the model only supports self attention
				_lowerCAmelCase								=kdim
				_lowerCAmelCase								=vdim
				_lowerCAmelCase								=self_attention
				_lowerCAmelCase								=bias

				super().__init__(
				    pad_token_id=__UpperCAmelCase	,	bos_token_id=__UpperCAmelCase	,	eos_token_id=__UpperCAmelCase	,	**__UpperCAmelCase	,	)





"""simple docstring"""


from ..utils import DummyObject, requires_backends


__A					=			None



def        _lowerCamelCase(*__UpperCamelCase       ,					**__UpperCamelCase			)							->					Tuple:
	requires_backends(__UpperCamelCase       ,					["""sentencepiece""", """tokenizers"""]			)



