


from ..utils import DummyObject, requires_backends
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     List[str]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Union[str, Any]     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			Union[str, Any]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Union[str, Any]     )		->			Union[str, Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       str     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       str     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       str     ,							*SCREAMING_SNAKE_CASE__				:       str     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Optional[int]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Tuple     ,							**SCREAMING_SNAKE_CASE__				:       List[Any]     )		->			Tuple:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       str     ,							**SCREAMING_SNAKE_CASE__				:       List[str]     )		->			Tuple:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       Dict     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Tuple:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Tuple     ,							*SCREAMING_SNAKE_CASE__				:       Optional[int]     ,							**SCREAMING_SNAKE_CASE__				:       Union[str, Any]     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       int     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			List[Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Tuple        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       List[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			Dict:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       int     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			int:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Dict     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			Union[str, Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     str        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       Union[str, Any]     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			str:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Optional[Any]     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Dict     )		->			int:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Optional[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Any     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Tuple     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			List[Any]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Tuple     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			Dict:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )







"""simple docstring"""






import gc
import threading
import time

import psutil
import torch



class 			A__   :




	'''simple docstring'''





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

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       psutil.Process()
				__lowerCAmelCase      :  str												=       False

	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       -1

				while True:
							__lowerCAmelCase      :  str												=       max(self.process.memory_info().rss       ,			self.cpu_memory_peak)

							# can't sleep or will not catch the peak right (this comment is here on purpose)
							if not self.peak_monitoring:
										break

	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple)				->       int:

				"""simple docstring"""

				__lowerCAmelCase      :  List[str]												=       True
				__lowerCAmelCase      :  str												=       threading.Thread(target=self.peak_monitor)
				__lowerCAmelCase      :  Tuple												=       True
				self.thread.start()







	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  Tuple												=       False
				self.thread.join()
				return self.cpu_memory_peak






__snake_case							:   Tuple      =    PeakCPUMemory()


def 			_lowercase				(  )						->   str:
			# Time
			__lowerCAmelCase      :  str												=       {"time": time.time()}

			gc.collect()
			torch.cuda.empty_cache()

			# CPU mem
			__lowerCAmelCase      :  Optional[Any]												=       psutil.Process().memory_info().rss
			cpu_peak_tracker.start()

			# GPU mem
			for i in range(torch.cuda.device_count()	):
						__lowerCAmelCase      :  Union[str, Any]												=       torch.cuda.memory_allocated(__snake_case	)
			torch.cuda.reset_peak_memory_stats()

			return measures


def 			_lowercase				(  __snake_case	)						->   Optional[Any]:
			# Time
			__lowerCAmelCase      :  str												=       {"time": time.time() - start_measures["time"]}

			gc.collect()
			torch.cuda.empty_cache()

			# CPU mem
			__lowerCAmelCase      :  str												=       (psutil.Process().memory_info().rss - start_measures["cpu"]) / 2**20
			__lowerCAmelCase      :  List[str]												=       (cpu_peak_tracker.stop() - start_measures["cpu"]) / 2**20

			# GPU mem
			for i in range(torch.cuda.device_count()	):
						__lowerCAmelCase      :  Union[str, Any]												=       (torch.cuda.memory_allocated(__snake_case	) - start_measures[str(__snake_case	)]) / 2**20
						__lowerCAmelCase      :  Any												=       (torch.cuda.max_memory_allocated(__snake_case	) - start_measures[str(__snake_case	)]) / 2**20

			return measures





def 			_lowercase				(  __snake_case					,__snake_case	)						->   Dict:
			print(F"""{description}:"""	)
			print(F"""- Time: {measures['time']:.2f}s"""	)
			for i in range(torch.cuda.device_count()	):
						print(F"""- GPU {i} allocated: {measures[str(__snake_case	)]:.2f}MiB"""	)
						__lowerCAmelCase      :  Optional[Any]												=       measures[F"""{i}-peak"""]
						print(F"""- GPU {i} peak: {peak:.2f}MiB"""	)
			print(F"""- CPU RAM allocated: {measures['cpu']:.2f}MiB"""	)
			print(F"""- CPU RAM peak: {measures['cpu-peak']:.2f}MiB"""	)