




'''simple docstring'''



import os
from pathlib import Path
from typing import Dict, List

import fire
import torch

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.utils.logging import get_logger


UpperCAmelCase_    :					Optional[int]					      =						get_logger(__name__)







def      _UpperCamelCase	(_lowerCamelCase							:       str				,		_lowerCamelCase							:       str		)->				Union[str, Any]:




     '''simple docstring'''





     if text.startswith(_lowerCamelCase		):
          return text[len(_lowerCamelCase		) :]
     return text  # or whatever







def      _UpperCamelCase	(_lowerCamelCase							:       Any		)->				List[Any]:




     '''simple docstring'''





     return {remove_prefix(_lowerCamelCase				,		'''model.'''		): v for k, v in sd.items()}







def      _UpperCamelCase	(_lowerCamelCase							:       List[Dict[str, torch.Tensor]]		)->				Tuple:




     '''simple docstring'''





     __snake_case         =					{}
     for k in state_dicts[0].keys():
          __snake_case         =					[sd[k] for sd in state_dicts]
          __snake_case         =					sum(_lowerCamelCase		) / len(_lowerCamelCase		)
          assert isinstance(_lowerCamelCase				,		torch.Tensor		)
          __snake_case         =					new_t
     return new_sd







def      _UpperCamelCase	(_lowerCamelCase							:       str				,		_lowerCamelCase							:       str				,		_lowerCamelCase							:       str		)->				None:




     '''simple docstring'''





     __snake_case         =					AutoModelForSeqaSeqLM.from_pretrained(_lowerCamelCase		)
     if os.path.isfile(_lowerCamelCase		):
          __snake_case         =					[pl_ckpt_path]
     else:
          assert os.path.isdir(_lowerCamelCase		)
          __snake_case         =					list(Path(_lowerCamelCase		).glob('''*.ckpt'''		)		)
          assert ckpt_files, f'''could not find any ckpt files inside the {pl_ckpt_path} directory'''

     if len(_lowerCamelCase		) > 1:
          logger.info(f'''averaging the weights of {ckpt_files}'''		)

     __snake_case         =					[sanitize(torch.load(_lowerCamelCase				,		map_location='''cpu'''		)['''state_dict''']		) for x in ckpt_files]
     __snake_case         =					average_state_dicts(_lowerCamelCase		)

     __snake_case   ,      __snake_case         =					hf_model.load_state_dict(_lowerCamelCase				,		strict=_lowerCamelCase		)
     assert not missing, f'''missing keys: {missing}'''
     hf_model.save_pretrained(_lowerCamelCase		)
     try:
          __snake_case         =					AutoTokenizer.from_pretrained(_lowerCamelCase		)
          tok.save_pretrained(_lowerCamelCase		)
     except Exception:
          pass
          # dont copy tokenizer if cant


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












'''simple docstring'''



import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
     import jax





@require_flax
class       lowerCAmelCase				:


       def  lowerCAmelCase (				self					) ->					int:



            '''simple docstring'''




            __snake_case   ,      __snake_case         =					self.prepare_init_args_and_inputs_for_common()

            __snake_case         =					self.model_class(**__SCREAMING_SNAKE_CASE					)
            __snake_case         =					model.init(inputs_dict['''prng_key''']      ,					inputs_dict['''sample''']					)
            jax.lax.stop_gradient(__SCREAMING_SNAKE_CASE					)

            __snake_case         =					model.apply(__SCREAMING_SNAKE_CASE      ,					inputs_dict['''sample''']					)

            if isinstance(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					):
                 __snake_case         =					output.sample

            self.assertIsNotNone(__SCREAMING_SNAKE_CASE					)
            __snake_case         =					inputs_dict['''sample'''].shape
            self.assertEqual(output.shape      ,					__SCREAMING_SNAKE_CASE      ,					'''Input and output shapes do not match'''					)


       def  lowerCAmelCase (				self					) ->					Tuple:



            '''simple docstring'''




            __snake_case   ,      __snake_case         =					self.prepare_init_args_and_inputs_for_common()

            __snake_case         =					16
            __snake_case         =					(16, 32)

            __snake_case         =					self.model_class(**__SCREAMING_SNAKE_CASE					)
            __snake_case         =					model.init(inputs_dict['''prng_key''']      ,					inputs_dict['''sample''']					)
            jax.lax.stop_gradient(__SCREAMING_SNAKE_CASE					)

            __snake_case         =					model.apply(__SCREAMING_SNAKE_CASE      ,					inputs_dict['''sample''']					)

            if isinstance(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					):
                 __snake_case         =					output.sample

            self.assertIsNotNone(__SCREAMING_SNAKE_CASE					)
            __snake_case         =					inputs_dict['''sample'''].shape
            self.assertEqual(output.shape      ,					__SCREAMING_SNAKE_CASE      ,					'''Input and output shapes do not match'''					)




       def  lowerCAmelCase (				self					) ->					str:



            '''simple docstring'''




            __snake_case         =					'''kwargs''' in inspect.signature(self.model_class.__init__					).parameters
            __snake_case         =					len(self.model_class._deprecated_kwargs					) > 0

            if has_kwarg_in_model_class and not has_deprecated_kwarg:
                 raise ValueError(
                     F'''{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs'''
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'''
                     ''' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='''
                     ''' [<deprecated_argument>]`'''					)

            if not has_kwarg_in_model_class and has_deprecated_kwarg:
                 raise ValueError(
                     F'''{self.model_class} doesn\'t have `**kwargs` in its __init__ method but has defined deprecated kwargs'''
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'''
                     F''' {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument'''
                     ''' from `_deprecated_kwargs = [<deprecated_argument>]`'''					)






