


'''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      lowercase			:

		"""simple docstring"""

		def __init__(	self					,     UpperCamelCase_=None					,     **UpperCamelCase_							):

							'''simple docstring'''


							logger.info('''`diffusers.OnnxRuntimeModel` is experimental and might change in the future.'''							)
							UpperCamelCase__     :Any							      =				model
							UpperCamelCase__     :Optional[int]							      =				kwargs.get('''model_save_dir'''					,     UpperCamelCase_							)
							UpperCamelCase__     :Dict							      =				kwargs.get('''latest_model_name'''					,     UpperCamelCase_							)




		def __call__(	self					,     **UpperCamelCase_							):

							'''simple docstring'''


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




		@staticmethod
		def 					lowerCAmelCase__       (	UpperCamelCase_					,     UpperCamelCase_=None					,     UpperCamelCase_=None							):

							'''simple docstring'''


							if provider is None:
												logger.info('''No onnxruntime provider specified, using CPUExecutionProvider'''							)
												UpperCamelCase__     :Tuple							      =				'''CPUExecutionProvider'''

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




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_ = None					,     **UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Tuple							      =				file_name if file_name is not None else ONNX_WEIGHTS_NAME

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

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




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     **UpperCamelCase_					,     ):

							'''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_					,     ):

							'''simple docstring'''


							UpperCamelCase__     :List[Any]							      =				file_name if file_name is not None else ONNX_WEIGHTS_NAME
							# load model from local directory
							if os.path.isdir(UpperCamelCase_							):
												UpperCamelCase__     :str							      =				OnnxRuntimeModel.load_model(
												    os.path.join(UpperCamelCase_					,     UpperCamelCase_							)					,     provider=UpperCamelCase_					,     sess_options=UpperCamelCase_							)
												UpperCamelCase__     :List[str]							      =				Path(UpperCamelCase_							)
							# load model from hub
							else:
												# download model
												UpperCamelCase__     :List[Any]							      =				hf_hub_download(
												    repo_id=UpperCamelCase_					,     filename=UpperCamelCase_					,     use_auth_token=UpperCamelCase_					,     revision=UpperCamelCase_					,     cache_dir=UpperCamelCase_					,     force_download=UpperCamelCase_					,     )
												UpperCamelCase__     :Union[str, Any]							      =				Path(UpperCamelCase_							).parent
												UpperCamelCase__     :List[Any]							      =				Path(UpperCamelCase_							).name
												UpperCamelCase__     :Dict							      =				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_					,     ):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				None
							if len(str(UpperCamelCase_							).split('''@'''							)							) == 2:
												UpperCamelCase__      ,       UpperCamelCase__     :Union[str, Any]							      =				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'''
from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


__snake_case							   =  logging.get_logger(__name__)
class      lowercase			:

		"""simple docstring"""

		_a									=       42
		_a									=       None




		@staticmethod
		def 					lowerCAmelCase__       (	):

							'''simple docstring'''


							raise NotImplementedError




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							):

							'''simple docstring'''


							raise NotImplementedError




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							raise NotImplementedError




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							if not self.is_available():
												raise RuntimeError(
												    F'''You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'''							)




		@classmethod
		def 					lowerCAmelCase__       (	cls							):

							'''simple docstring'''


							return F'''`pip install {cls.pip_package or cls.name}`'''



class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       'optuna'




		@staticmethod
		def 					lowerCAmelCase__       (	):

							'''simple docstring'''


							return is_optuna_available()




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							):

							'''simple docstring'''


							return run_hp_search_optuna(UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return default_hp_space_optuna(UpperCamelCase_							)



class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       'ray'
		_a									=       '\'ray[tune]\''




		@staticmethod
		def 					lowerCAmelCase__       (	):

							'''simple docstring'''


							return is_ray_available()




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							):

							'''simple docstring'''


							return run_hp_search_ray(UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return default_hp_space_ray(UpperCamelCase_							)



class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       'sigopt'




		@staticmethod
		def 					lowerCAmelCase__       (	):

							'''simple docstring'''


							return is_sigopt_available()




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							):

							'''simple docstring'''


							return run_hp_search_sigopt(UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return default_hp_space_sigopt(UpperCamelCase_							)



class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       'wandb'




		@staticmethod
		def 					lowerCAmelCase__       (	):

							'''simple docstring'''


							return is_wandb_available()




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							):

							'''simple docstring'''


							return run_hp_search_wandb(UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return default_hp_space_wandb(UpperCamelCase_							)



__snake_case							   =  {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}


def     a   (    )						->			str:



					'''simple docstring'''






					UpperCamelCase__     :List[Any]							      =				[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
					if len(__a     ) > 0:
										UpperCamelCase__     :Tuple							      =				available_backends[0].name
										if len(__a     ) > 1:
															logger.info(
															    f'''{len(__a     )} hyperparameter search backends available. Using {name} as the default.'''     )
										return name
					raise RuntimeError(
					    '''No hyperparameter search backend available.\n'''
					    + '''\n'''.join(
					        f''' - To install {backend.name} run {backend.pip_install()}'''
					        for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()     )     )