

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


lowercase						:      str									= logging.get_logger(__name__)

lowercase						:      List[Any]									= {
    '''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 				lowerCamelCase__							(       UpperCAmelCase__):




	'''simple docstring'''




	_A			=  'rwkv'
	_A			=  {'max_position_embeddings': 'context_length'}







	def __init__(      self	:List[str]  ,     a	:Union[str, Any]=5_0_2_7_7  ,     a	:str=1_0_2_4  ,     a	:Union[str, Any]=4_0_9_6  ,     a	:Optional[int]=3_2  ,     a	:Optional[int]=None  ,     a	:Optional[Any]=None  ,     a	:List[Any]=1E-5  ,     a	:Union[str, Any]=0  ,     a	:Optional[Any]=0  ,     a	:Dict=6  ,     a	:int=False  ,     a	:Tuple=True  ,     **a	:List[str]  ,     )	->				List[Any]:
								__UpperCamelCase			:     List[Any]         =      vocab_size
								__UpperCamelCase			:     Dict         =      context_length
								__UpperCamelCase			:     Dict         =      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			:     int         =      layer_norm_epsilon
								__UpperCamelCase			:     int         =      rescale_every
								__UpperCamelCase			:     str         =      use_cache

								__UpperCamelCase			:     List[Any]         =      bos_token_id
								__UpperCamelCase			:     Optional[int]         =      eos_token_id

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

import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
		lowercase						:      List[str]									= argparse.ArgumentParser()

		parser.add_argument('--dump_path', default=None, type=str, required=True, help='Path to the output model.')

		parser.add_argument(
		    '--txt2img_unclip',
		    default='kakaobrain/karlo-v1-alpha',
		    type=str,
		    required=False,
		    help='The pretrained txt2img unclip.',
		)

		lowercase						:      int									= parser.parse_args()

		lowercase						:      str									= UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

		lowercase						:      int									= CLIPImageProcessor()
		lowercase						:      Optional[int]									= CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

		lowercase						:      int									= UnCLIPImageVariationPipeline(
		    decoder=txtaimg.decoder,
		    text_encoder=txtaimg.text_encoder,
		    tokenizer=txtaimg.tokenizer,
		    text_proj=txtaimg.text_proj,
		    feature_extractor=feature_extractor,
		    image_encoder=image_encoder,
		    super_res_first=txtaimg.super_res_first,
		    super_res_last=txtaimg.super_res_last,
		    decoder_scheduler=txtaimg.decoder_scheduler,
		    super_res_scheduler=txtaimg.super_res_scheduler,
		)

		imgaimg.save_pretrained(args.dump_path)