






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


__lowerCamelCase :      Optional[Any]										=				logging.get_logger(__name__)

__lowerCamelCase :      Optional[int]										=				{
    """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 							SCREAMING_SNAKE_CASE__						(    UpperCamelCase_						):





					"""simple docstring"""






					a_     =		"rwkv"
					a_     =		{"max_position_embeddings": "context_length"}



					def __init__( self					:  Optional[Any]							,		__A					:  List[str]=5_0_2_7_7							,		__A					:  Dict=1_0_2_4							,		__A					:  Optional[Any]=4_0_9_6							,		__A					:  List[str]=3_2							,		__A					:  Any=None							,		__A					:  str=None							,		__A					:  List[Any]=1e-5							,		__A					:  int=0							,		__A					:  List[str]=0							,		__A					:  List[Any]=6							,		__A					:  List[str]=False							,		__A					:  Union[str, Any]=True							,		**__A					:  int							,		):
						snake_case__			:				Dict       =  vocab_size
						snake_case__			:				Tuple       =  context_length
						snake_case__			:				Optional[int]       =  hidden_size
						snake_case__			:				List[Any]       =  num_hidden_layers
						snake_case__			:				Optional[Any]       =  attention_hidden_size if attention_hidden_size is not None else hidden_size
						snake_case__			:				Tuple       =  intermediate_size if intermediate_size is not None else 4 * hidden_size
						snake_case__			:				List[Any]       =  layer_norm_epsilon
						snake_case__			:				List[str]       =  rescale_every
						snake_case__			:				Optional[int]       =  use_cache

						snake_case__			:				Optional[int]       =  bos_token_id
						snake_case__			:				Tuple       =  eos_token_id

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











from datetime import datetime

import matplotlib.pyplot as plt
import torch







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	for param in module.parameters():
		snake_case__			:				Tuple       =  False







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				Any       =  "cuda" if torch.cuda.is_available() else "cpu"
	if torch.backends.mps.is_available() and torch.backends.mps.is_built():
		snake_case__			:				List[Any]       =  "mps"
	if device == "mps":
		print(
		    "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
		    " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
		    " with generations."       )
	return device







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str       ):
	snake_case__			:				List[str]       =  plt.imshow(snake_case_       )
	fig.axes.get_xaxis().set_visible(snake_case_       )
	fig.axes.get_yaxis().set_visible(snake_case_       )
	plt.show()







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				str       =  datetime.now()
	snake_case__			:				Optional[Any]       =  current_time.strftime("%H:%M:%S"       )
	return timestamp



