import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler


class 						a__							:



			def __init__(						self				,						UpperCAmelCase   )			->   Optional[Any]:

								if isinstance(snake_case__				,						snake_case__   ):
													# Don't modify user's data should they want to reuse it (e.g. in tests), because once we
													# modified it, it will not be accepted here again, since `auto` values would have been overridden
													__a		 =       deepcopy(snake_case__   )
								elif os.path.exists(snake_case__   ):
													with io.open(snake_case__				,						'r'				,						encoding='utf-8'   ) as f:
																		__a		 =       json.load(snake_case__   )
								else:
													try:
																		__a		 =       baseaa.urlsafe_baadecode(snake_case__   ).decode('utf-8'   )
																		__a		 =       json.loads(snake_case__   )
													except (UnicodeDecodeError, AttributeError, ValueError):
																		raise ValueError(
																		    f'''Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'''   )

								__a		 =       config

								self.set_stage_and_offload()



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[int]:
								__a		 =       self.get_value('zero_optimization.stage'				,						-1   )

								# offload
								__a		 =       False
								if self.is_zeroa() or self.is_zeroa():
													__a		 =       set(['cpu', 'nvme']   )
													__a		 =       set(
													    [
													        self.get_value('zero_optimization.offload_optimizer.device'   ),
													        self.get_value('zero_optimization.offload_param.device'   ),
													    ]   )
													if len(offload_devices & offload_devices_valid   ) > 0:
																		__a		 =       True



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   List[str]:
								__a		 =       self.config

								# find the config node of interest if it exists
								__a		 =       ds_key_long.split('.'   )
								__a		 =       nodes.pop()
								for node in nodes:
													__a		 =       config.get(snake_case__   )
													if config is None:
																		return None, ds_key

								return config, ds_key



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase=None   )			->   Tuple:
								__a		 =       self.find_config_node(snake_case__   )
								if config is None:
													return default
								return config.get(snake_case__				,						snake_case__   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase=False   )			->   Optional[int]:
								__a		 =       self.config

								# find the config node of interest if it exists
								__a		 =       ds_key_long.split('.'   )
								for node in nodes:
													__a		 =       config
													__a		 =       config.get(snake_case__   )
													if config is None:
																		if must_exist:
																							raise ValueError(f'''Can\'t find {ds_key_long} entry in the config: {self.config}'''   )
																		else:
																							return

        # if found remove it
								if parent_config is not None:
													parent_config.pop(snake_case__   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Optional[int]:
								__a		 =       self.get_value(snake_case__   )
								return False if value is None else bool(snake_case__   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Optional[Any]:
								__a		 =       self.get_value(snake_case__   )
								return False if value is None else not bool(snake_case__   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								return self._stage == 2



			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								return self._stage == 3







			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								return self._offload






class 						a__							:



			def __init__(						self				,						UpperCAmelCase   )			->   Optional[Any]:
								__a		 =       engine







			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						**UpperCAmelCase   )			->   Dict:
								self.engine.backward(snake_case__				,						**snake_case__   )

								# Deepspeed's `engine.step` performs the following operations:
								# - gradient accumulation check
								# - gradient clipping
								# - optimizer step
								# - zero grad
								# - checking overflow
								# - lr_scheduler step (only if engine.lr_scheduler is not None)
								self.engine.step()
								# and this plugin overrides the above calls with no-ops when Accelerate runs under
								# Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
								# training loop that works transparently under many training regimes.






class 						a__							(       SCREAMING_SNAKE_CASE_		):



			def __init__(						self				,						UpperCAmelCase   )			->   Union[str, Any]:
								super().__init__(snake_case__				,						device_placement=snake_case__				,						scaler=snake_case__   )
								__a		 =       hasattr(self.optimizer				,						'overflow'   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase=None   )			->   List[Any]:
								pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Any:

								if self.__has_overflow__:
													return self.optimizer.overflow
								return False






class 						a__							(       SCREAMING_SNAKE_CASE_		):



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Union[str, Any]:
								super().__init__(snake_case__				,						snake_case__   )







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[int]:
								pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class 						a__							:



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=0.001				,						UpperCAmelCase=0				,						**UpperCAmelCase   )			->   List[str]:
								__a		 =       params
								__a		 =       lr
								__a		 =       weight_decay
								__a		 =       kwargs






class 						a__							:



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=None				,						UpperCAmelCase=0				,						**UpperCAmelCase   )			->   List[str]:
								__a		 =       optimizer
								__a		 =       total_num_steps
								__a		 =       warmup_num_steps
								__a		 =       kwargs





from ..utils import DummyObject, requires_backends


class 						a__							(       metaclass=__snake_case		):
			A__    :       List[Any]        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Any:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Union[str, Any]:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   List[str]:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )






class 						a__							(       metaclass=__snake_case		):
			A__    :       Union[str, Any]        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   int:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   int:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Dict:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )






class 						a__							(       metaclass=__snake_case		):
			A__    :       Dict        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Union[str, Any]:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Any:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   int:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )






class 						a__							(       metaclass=__snake_case		):
			A__    :       Union[str, Any]        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Optional[Any]:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   int:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Union[str, Any]:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )






class 						a__							(       metaclass=__snake_case		):
			A__    :       Dict        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Optional[int]:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Any:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   str:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )






class 						a__							(       metaclass=__snake_case		):
			A__    :       Tuple        =      ['torch', 'transformers', 'onnx']



			def __init__(						self				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   int:
								requires_backends(self				,						['torch', 'transformers', 'onnx']   )



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   List[str]:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )







			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )			->   Any:
								requires_backends(cls				,						['torch', 'transformers', 'onnx']   )




