

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


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_        =      {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}

class 				a  (	UpperCAmelCase__				):
						_lowercase    						=			"rwkv"
						_lowercase    						=			{"max_position_embeddings": "context_length"}


						def __init__(       self						,					A_=50277						,					A_=1024						,					A_=4096						,					A_=32						,					A_=None						,					A_=None						,					A_=1e-5						,					A_=0						,					A_=0						,					A_=6						,					A_=False						,					A_=True						,					**A_						,					):







										'''simple docstring'''


										_UpperCAmelCase       :		List[str] 		=    vocab_size
										_UpperCAmelCase       :		str 		=    context_length
										_UpperCAmelCase       :		List[str] 		=    hidden_size
										_UpperCAmelCase       :		Any 		=    num_hidden_layers
										_UpperCAmelCase       :		Tuple 		=    attention_hidden_size if attention_hidden_size is not None else hidden_size
										_UpperCAmelCase       :		List[Any] 		=    intermediate_size if intermediate_size is not None else 4 * hidden_size
										_UpperCAmelCase       :		str 		=    layer_norm_epsilon
										_UpperCAmelCase       :		Tuple 		=    rescale_every
										_UpperCAmelCase       :		Optional[Any] 		=    use_cache

										_UpperCAmelCase       :		int 		=    bos_token_id
										_UpperCAmelCase       :		Optional[Any] 		=    eos_token_id

										super().__init__(
										    tie_word_embeddings=__lowerCAmelCase						,					bos_token_id=__lowerCAmelCase						,					eos_token_id=__lowerCAmelCase						,					**__lowerCAmelCase	)





import logging
import os

from .state import PartialState

class 				a  (	logging.LoggerAdapter				):


						@staticmethod
						def        _UpperCAmelCase				(       A_	):







										'''simple docstring'''


										_UpperCAmelCase       :		Tuple 		=    PartialState()
										return not main_process_only or (main_process_only and state.is_main_process)





						def        _UpperCAmelCase				(       self						,					A_						,					A_						,					*A_						,					**A_	):







										'''simple docstring'''


										if PartialState._shared_state == {}:
														raise RuntimeError(
														    "You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."	)
										_UpperCAmelCase       :		Tuple 		=    kwargs.pop("main_process_only"						,					A_	)
										_UpperCAmelCase       :		int 		=    kwargs.pop("in_order"						,					A_	)

										if self.isEnabledFor(A_	):
														if self._should_log(A_	):
																		_UpperCAmelCase		,							_UpperCAmelCase       :		Optional[int] 		=    self.process(A_						,					A_	)
																		self.logger.log(A_						,					A_						,					*A_						,					**A_	)

														elif in_order:
																		_UpperCAmelCase       :		Dict 		=    PartialState()
																		for i in range(state.num_processes	):
																						if i == state.process_index:
																										_UpperCAmelCase		,							_UpperCAmelCase       :		Union[str, Any] 		=    self.process(A_						,					A_	)
																										self.logger.log(A_						,					A_						,					*A_						,					**A_	)
																						state.wait_for_everyone()







def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  str  ,      lowerCAmelCase:  str = None )   ->       List[Any]:
				if log_level is None:
								_UpperCAmelCase       :		List[str] 		=    os.environ.get("ACCELERATE_LOG_LEVEL"  ,      lowerCAmelCase )
				_UpperCAmelCase       :		str 		=    logging.getLogger(lowerCAmelCase )
				if log_level is not None:
								logger.setLevel(log_level.upper() )
								logger.root.setLevel(log_level.upper() )
				return MultiProcessAdapter(lowerCAmelCase  ,      {} )


