
'''simple docstring'''







import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
_lowercase :  int    							=       object()

# For specifying empty leaf dict `{}`
_lowercase :  List[Any]    							=       object()
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Any      ,      __SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       tuple((re.compile(x + '''$'''							) for x in qs)							)
						for i in range(len(__SCREAMING_SNAKE_CASE							) - len(__SCREAMING_SNAKE_CASE							) + 1							):
												lowercase_	:     Dict													=       [x.match(__SCREAMING_SNAKE_CASE							) for x, y in zip(__SCREAMING_SNAKE_CASE      ,      ks[i:]							)]
												if matches and all(__SCREAMING_SNAKE_CASE							):
																		return True
						return False
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List[str]							):



						"""simple docstring"""





						def replace(__SCREAMING_SNAKE_CASE					: int      ,      __SCREAMING_SNAKE_CASE					: List[Any]							):
												for rule, replacement in rules:
																		if _match(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							):
																								return replacement
												return val

						return replace
def 					snake_case_		(				):



						"""simple docstring"""





						return [
						    # embeddings
						    (("transformer", "wpe", "embedding"), P('''mp'''      ,      __SCREAMING_SNAKE_CASE							)),
						    (("transformer", "wte", "embedding"), P('''mp'''      ,      __SCREAMING_SNAKE_CASE							)),
						    # atention
						    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(__SCREAMING_SNAKE_CASE      ,      '''mp'''							)),
						    (("attention", "out_proj", "kernel"), P('''mp'''      ,      __SCREAMING_SNAKE_CASE							)),
						    (("attention", "out_proj", "bias"), None),
						    # mlp
						    (("mlp", "c_fc", "kernel"), P(__SCREAMING_SNAKE_CASE      ,      '''mp'''							)),
						    (("mlp", "c_fc", "bias"), P('''mp'''							)),
						    (("mlp", "c_proj", "kernel"), P('''mp'''      ,      __SCREAMING_SNAKE_CASE							)),
						    (("mlp", "c_proj", "bias"), None),
						    # layer norms
						    ((r"ln_\d+", "bias"), None),
						    ((r"\d+", r"ln_\d+", "scale"), None),
						    (("ln_f", "bias"), None),
						    (("ln_f", "scale"), None),
						]




def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       _get_partition_rules()
						lowercase_	:     List[Any]													=       _replacement_rules(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     Optional[int]													=       {k: _unmatched for k in flatten_dict(__SCREAMING_SNAKE_CASE							)}
						lowercase_	:     Optional[Any]													=       {k: replace(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							) for k, v in initd.items()}
						assert _unmatched not in result.values(), "Incomplete partition spec."
						return freeze(unflatten_dict(__SCREAMING_SNAKE_CASE							)							)







from typing import Union

import fire
import torch
from tqdm import tqdm



def 	lowerCAmelCase       (						lowerCAmelCase_       ,      lowerCAmelCase_ = "cpu"       ,      lowerCAmelCase_ = None       )->       None:
				lowerCAmelCase_       :					str			 = torch.load(lowerCAmelCase_       ,      map_location=lowerCAmelCase_       )
				for k, v in tqdm(state_dict.items()       ):
								if not isinstance(lowerCAmelCase_       ,      torch.Tensor       ):
												raise TypeError('''FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'''       )
								lowerCAmelCase_       :					int			 = v.half()
				if save_path is None:  # overwrite src_path
								lowerCAmelCase_       :					Tuple			 = src_path
				torch.save(lowerCAmelCase_       ,      lowerCAmelCase_       )


if __name__ == "__main__":
						fire.Fire(convert)