



import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
     # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
     # setup instructions, if using on-demand hardware

     # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
     # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
     # Throw an error if user passes both BYO and on-demand cluster args
     # Otherwise, use default values
     A_		:     Dict        =     argparse.ArgumentParser()
     parser.add_argument('''--user''', type=str, default='''ubuntu''')
     parser.add_argument('''--host''', type=str, default='''localhost''')
     parser.add_argument('''--key_path''', type=str, default=None)
     parser.add_argument('''--instance''', type=str, default='''V100:1''')
     parser.add_argument('''--provider''', type=str, default='''cheapest''')
     parser.add_argument('''--use_spot''', type=bool, default=False)
     parser.add_argument('''--example''', type=str, default='''pytorch/text-generation/run_generation.py''')
     A_		:     List[Any]        =     parser.parse_known_args()
     if args.host != "localhost":
          if args.instance != "V100:1" or args.provider != "cheapest":
               raise ValueError('''Cannot specify both BYO and on-demand cluster args''')
          A_		:     Optional[Any]        =     rh.cluster(
              name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
          )
     else:
          A_		:     List[Any]        =     rh.cluster(
              name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
          )
     A_		:     Tuple        =     args.example.rsplit('''/''', 1)[0]

     # Set up remote environment
     cluster.install_packages(['''pip:./'''])  # Installs transformers from local source
     # Note transformers is copied into the home directory on the remote machine, so we can install from there
     cluster.run([F"""pip install -r transformers/examples/{example_dir}/requirements.txt"""])
     cluster.run(['''pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117'''])

     # Run example. You can bypass the CLI wrapper and paste your own code here.
     cluster.run([F"""python transformers/examples/{args.example} {' '.join(shlex.quote(arg) for arg in unknown)}"""])

     # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
     # from my_script... import train
     # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
     # launch_train_gpu = rh.function(fn=train,
     #                                system=gpu,
     #                                reqs=reqs,
     #                                name='train_bert_glue')
     #
     # We can pass in arguments just like we would to a function:
     # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
     #                  stream_logs=True)






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


A_		:     str        =     logging.get_logger(__name__)

A_		:     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 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			'''rwkv'''
   _UpperCAmelCase     	=			{'''max_position_embeddings''': '''context_length'''}

   def __init__(      self			:       List[str]							,   __lowerCAmelCase			:       Union[str, Any]=5_0277							,   __lowerCAmelCase			:       str=1024							,   __lowerCAmelCase			:       Union[str, Any]=4096							,   __lowerCAmelCase			:       Optional[int]=32							,   __lowerCAmelCase			:       Optional[int]=None							,   __lowerCAmelCase			:       Optional[Any]=None							,   __lowerCAmelCase			:       List[Any]=1E-5							,   __lowerCAmelCase			:       Union[str, Any]=0							,   __lowerCAmelCase			:       Optional[Any]=0							,   __lowerCAmelCase			:       Dict=6							,   __lowerCAmelCase			:       int=False							,   __lowerCAmelCase			:       Tuple=True							,   **__lowerCAmelCase			:       List[str]							,   )       ->				List[Any]:


    """simple docstring"""






    a						=		vocab_size
    a						=		context_length
    a						=		hidden_size
    a						=		num_hidden_layers
    a						=		attention_hidden_size if attention_hidden_size is not None else hidden_size
    a						=		intermediate_size if intermediate_size is not None else 4 * hidden_size
    a						=		layer_norm_epsilon
    a						=		rescale_every
    a						=		use_cache

    a						=		bos_token_id
    a						=		eos_token_id

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

