


"""simple docstring"""



import os
import shutil
from pathlib import Path
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging


if is_onnx_available():
  import onnxruntime as ort


__snake_case         =					logging.get_logger(__name__)

__snake_case         =					{
    """tensor(bool)""": np.bool_,
    """tensor(int8)""": np.inta,
    """tensor(uint8)""": np.uinta,
    """tensor(int16)""": np.intaa,
    """tensor(uint16)""": np.uintaa,
    """tensor(int32)""": np.intaa,
    """tensor(uint32)""": np.uintaa,
    """tensor(int64)""": np.intaa,
    """tensor(uint64)""": np.uintaa,
    """tensor(float16)""": np.floataa,
    """tensor(float)""": np.floataa,
    """tensor(double)""": np.floataa,
}







class _lowerCAmelCase       :







   def __init__(			self		,			UpperCamelCase__=None		,			**UpperCamelCase__		)			->	List[str]:

       '''simple docstring'''




       logger.info("`diffusers.OnnxRuntimeModel` is experimental and might change in the future."		)
       snake_case					:   Optional[int]         =					model
       snake_case					:   str         =					kwargs.get("model_save_dir"		,			UpperCamelCase__		)
       snake_case					:   List[str]         =					kwargs.get("latest_model_name"		,			UpperCamelCase__		)







   def __call__(			self		,			**UpperCamelCase__		)			->	Optional[int]:

       '''simple docstring'''




       snake_case					:   Tuple         =					{k: np.array(UpperCamelCase__		) for k, v in kwargs.items()}
       return self.model.run(UpperCamelCase__		,			UpperCamelCase__		)







   @staticmethod
   def 				lowerCamelCase	(			UpperCamelCase__		,			UpperCamelCase__=None		,			UpperCamelCase__=None		)			->	Optional[Any]:

       '''simple docstring'''




       if provider is None:
           logger.info("No onnxruntime provider specified, using CPUExecutionProvider"		)
           snake_case					:   Optional[Any]         =					"CPUExecutionProvider"

       return ort.InferenceSession(UpperCamelCase__		,			providers=[provider]		,			sess_options=UpperCamelCase__		)







   def 				lowerCamelCase	(			self		,			UpperCamelCase__		,			UpperCamelCase__ = None		,			**UpperCamelCase__		)			->	int:

       '''simple docstring'''




       snake_case					:   Union[str, Any]         =					file_name if file_name is not None else ONNX_WEIGHTS_NAME

       snake_case					:   Optional[int]         =					self.model_save_dir.joinpath(self.latest_model_name		)
       snake_case					:   Optional[Any]         =					Path(UpperCamelCase__		).joinpath(UpperCamelCase__		)
       try:
           shutil.copyfile(UpperCamelCase__		,			UpperCamelCase__		)
       except shutil.SameFileError:
           pass

       # copy external weights (for models >2GB)
       snake_case					:   str         =					self.model_save_dir.joinpath(UpperCamelCase__		)
       if src_path.exists():
           snake_case					:   List[str]         =					Path(UpperCamelCase__		).joinpath(UpperCamelCase__		)
           try:
               shutil.copyfile(UpperCamelCase__		,			UpperCamelCase__		)
           except shutil.SameFileError:
               pass







   def 				lowerCamelCase	(			self		,			UpperCamelCase__		,			**UpperCamelCase__		,			)			->	Optional[Any]:

       '''simple docstring'''




       if os.path.isfile(UpperCamelCase__		):
           logger.error(F'Provided path ({save_directory}) should be a directory, not a file'		)
           return

       os.makedirs(UpperCamelCase__		,			exist_ok=UpperCamelCase__		)

       # saving model weights/files
       self._save_pretrained(UpperCamelCase__		,			**UpperCamelCase__		)







   @classmethod
   def 				lowerCamelCase	(			cls		,			UpperCamelCase__		,			UpperCamelCase__ = None		,			UpperCamelCase__ = None		,			UpperCamelCase__ = False		,			UpperCamelCase__ = None		,			UpperCamelCase__ = None		,			UpperCamelCase__ = None		,			UpperCamelCase__ = None		,			**UpperCamelCase__		,			)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   Optional[int]         =					file_name if file_name is not None else ONNX_WEIGHTS_NAME
       # load model from local directory
       if os.path.isdir(UpperCamelCase__		):
           snake_case					:   Optional[int]         =					OnnxRuntimeModel.load_model(
               os.path.join(UpperCamelCase__		,			UpperCamelCase__		)		,			provider=UpperCamelCase__		,			sess_options=UpperCamelCase__		)
           snake_case					:   Optional[int]         =					Path(UpperCamelCase__		)
       # load model from hub
       else:
           # download model
           snake_case					:   Any         =					hf_hub_download(
               repo_id=UpperCamelCase__		,			filename=UpperCamelCase__		,			use_auth_token=UpperCamelCase__		,			revision=UpperCamelCase__		,			cache_dir=UpperCamelCase__		,			force_download=UpperCamelCase__		,			)
           snake_case					:   Any         =					Path(UpperCamelCase__		).parent
           snake_case					:   Tuple         =					Path(UpperCamelCase__		).name
           snake_case					:   List[Any]         =					OnnxRuntimeModel.load_model(UpperCamelCase__		,			provider=UpperCamelCase__		,			sess_options=UpperCamelCase__		)
       return cls(model=UpperCamelCase__		,			**UpperCamelCase__		)







   @classmethod
   def 				lowerCamelCase	(			cls		,			UpperCamelCase__		,			UpperCamelCase__ = True		,			UpperCamelCase__ = None		,			UpperCamelCase__ = None		,			**UpperCamelCase__		,			)			->	List[str]:

       '''simple docstring'''




       snake_case					:   Dict         =					None
       if len(str(UpperCamelCase__		).split("@"		)		) == 2:
           snake_case      ,snake_case					:   Optional[int]         =					model_id.split("@"		)

       return cls._from_pretrained(
           model_id=UpperCamelCase__		,			revision=UpperCamelCase__		,			cache_dir=UpperCamelCase__		,			force_download=UpperCamelCase__		,			use_auth_token=UpperCamelCase__		,			**UpperCamelCase__		,			)









"""simple docstring"""



import baseaa







def 						__lowerCAmelCase		(		lowercase						:						str				)			->		bytes:


    """simple docstring"""





    return baseaa.aaaencode(string.encode("utf-8"				)				)







def 						__lowerCAmelCase		(		lowercase						:						bytes				)			->		str:


    """simple docstring"""





    return baseaa.aaadecode(lowercase				).decode("utf-8"				)


if __name__ == "__main__":
  import doctest

  doctest.testmod()





