


"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE				:     Dict		=     logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE				:     Optional[int]		=     {
    # 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   __A  (snake_case__):





							'''simple docstring'''

							__lowercase:		List[str]				   =     """graphormer"""
							__lowercase:		Optional[Any]				   =     ["""past_key_values"""]



							def __init__(					self				:   str		,							UpperCAmelCase_				:   Union[str, Any] = 1		,							UpperCAmelCase_				:   str = 512 * 9		,							UpperCAmelCase_				:   Dict = 512 * 3		,							UpperCAmelCase_				:   Optional[int] = 512		,							UpperCAmelCase_				:   int = 512		,							UpperCAmelCase_				:   Optional[int] = 512		,							UpperCAmelCase_				:   int = 128		,							UpperCAmelCase_				:   int = 5		,							UpperCAmelCase_				:   Any = 1_024		,							UpperCAmelCase_				:   Optional[int] = "multi_hop"		,							UpperCAmelCase_				:   Union[str, Any] = 512		,							UpperCAmelCase_				:   Tuple = False		,							UpperCAmelCase_				:   Optional[Any] = 12		,							UpperCAmelCase_				:   Dict = 768		,							UpperCAmelCase_				:   str = 768		,							UpperCAmelCase_				:   Optional[int] = 32		,							UpperCAmelCase_				:   Dict = 0.1		,							UpperCAmelCase_				:   Tuple = 0.1		,							UpperCAmelCase_				:   List[str] = 0.0		,							UpperCAmelCase_				:   Tuple = False		,							UpperCAmelCase_				:   List[str] = False		,							UpperCAmelCase_				:   int = False		,							UpperCAmelCase_				:   Optional[int] = "gelu"		,							UpperCAmelCase_				:   Tuple = None		,							UpperCAmelCase_				:   Optional[Any] = False		,							UpperCAmelCase_				:   Optional[Any] = 0		,							UpperCAmelCase_				:   str = False		,							UpperCAmelCase_				:   Optional[Any] = 0.0		,							UpperCAmelCase_				:   Any = 8		,							UpperCAmelCase_				:   Optional[int] = None		,							UpperCAmelCase_				:   Tuple = None		,							UpperCAmelCase_				:   Union[str, Any] = True		,							UpperCAmelCase_				:   Tuple = True		,							UpperCAmelCase_				:   Dict=0		,							UpperCAmelCase_				:   List[str]=1		,							UpperCAmelCase_				:   int=2		,							**UpperCAmelCase_				:   Optional[Any]		,							)       ->List[str]:



														"""simple docstring"""



														snake_case_     							=		num_classes
														snake_case_     							=		num_atoms
														snake_case_     							=		num_in_degree
														snake_case_     							=		num_out_degree
														snake_case_     							=		num_edges
														snake_case_     							=		num_spatial
														snake_case_     							=		num_edge_dis
														snake_case_     							=		edge_type
														snake_case_     							=		multi_hop_max_dist
														snake_case_     							=		spatial_pos_max
														snake_case_     							=		max_nodes
														snake_case_     							=		num_hidden_layers
														snake_case_     							=		embedding_dim
														snake_case_     							=		embedding_dim
														snake_case_     							=		ffn_embedding_dim
														snake_case_     							=		num_attention_heads
														snake_case_     							=		dropout
														snake_case_     							=		attention_dropout
														snake_case_     							=		layerdrop
														snake_case_     							=		encoder_normalize_before
														snake_case_     							=		pre_layernorm
														snake_case_     							=		apply_graphormer_init
														snake_case_     							=		activation_fn
														snake_case_     							=		embed_scale
														snake_case_     							=		freeze_embeddings
														snake_case_     							=		num_trans_layers_to_freeze
														snake_case_     							=		share_input_output_embed
														snake_case_     							=		traceable
														snake_case_     							=		q_noise
														snake_case_     							=		qn_block_size

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

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





"""simple docstring"""


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


__A					=			logging.get_logger(__name__)

__A					=			{
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			lowerCamelCase       =						'''nystromformer'''



			def __init__(				self	,	__UpperCAmelCase=3_00_00	,	__UpperCAmelCase=7_68	,	__UpperCAmelCase=12	,	__UpperCAmelCase=12	,	__UpperCAmelCase=30_72	,	__UpperCAmelCase="gelu_new"	,	__UpperCAmelCase=0.1	,	__UpperCAmelCase=0.1	,	__UpperCAmelCase=5_10	,	__UpperCAmelCase=2	,	__UpperCAmelCase=64	,	__UpperCAmelCase=64	,	__UpperCAmelCase=65	,	__UpperCAmelCase=False	,	__UpperCAmelCase=0.0_2	,	__UpperCAmelCase=1e-5	,	__UpperCAmelCase=1	,	__UpperCAmelCase=0	,	__UpperCAmelCase=2	,	**__UpperCAmelCase	,	)					->	Union[str, Any]:
				_lowerCAmelCase								=vocab_size
				_lowerCAmelCase								=max_position_embeddings
				_lowerCAmelCase								=hidden_size
				_lowerCAmelCase								=num_hidden_layers
				_lowerCAmelCase								=num_attention_heads
				_lowerCAmelCase								=intermediate_size
				_lowerCAmelCase								=hidden_act
				_lowerCAmelCase								=hidden_dropout_prob
				_lowerCAmelCase								=attention_probs_dropout_prob
				_lowerCAmelCase								=initializer_range
				_lowerCAmelCase								=type_vocab_size
				_lowerCAmelCase								=segment_means_seq_len
				_lowerCAmelCase								=num_landmarks
				_lowerCAmelCase								=conv_kernel_size
				_lowerCAmelCase								=inv_coeff_init_option
				_lowerCAmelCase								=layer_norm_eps
				super().__init__(pad_token_id=__UpperCAmelCase	,	bos_token_id=__UpperCAmelCase	,	eos_token_id=__UpperCAmelCase	,	**__UpperCAmelCase    )



