


'''simple docstring'''
import gc
import threading
import time

import psutil
import torch
class        lowercase     :

		"""simple docstring"""

		def __init__(		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			psutil.Process()
							UpperCamelCase__       :List[Any]							 =			False




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Union[str, Any]							 =			-1

							while True:
												UpperCamelCase__       :List[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    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			True
							UpperCamelCase__       :List[Any]							 =			threading.Thread(target=self.peak_monitor							)
							UpperCamelCase__       :Union[str, Any]							 =			True
							self.thread.start()




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			False
							self.thread.join()
							return self.cpu_memory_peak



__snake_case											=					PeakCPUMemory()


def       a				(      )  ->     Any:



					'''simple docstring'''






					UpperCamelCase__       :Optional[Any]							 =			{'''time''': time.time()}

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

					# CPU mem
					UpperCamelCase__       :int							 =			psutil.Process().memory_info().rss
					cpu_peak_tracker.start()

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

					return measures


def       a				(      __a       )  ->     List[str]:



					'''simple docstring'''






					UpperCamelCase__       :Union[str, Any]							 =			{'''time''': time.time() - start_measures['''time''']}

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

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

					# GPU mem
					for i in range(torch.cuda.device_count()       ):
										UpperCamelCase__       :Optional[Any]							 =			(torch.cuda.memory_allocated(__a       ) - start_measures[str(__a       )]) / 2**20
										UpperCamelCase__       :int							 =			(torch.cuda.max_memory_allocated(__a       ) - start_measures[str(__a       )]) / 2**20

					return measures







def       a				(      __a			, __a       )  ->     Any:



					'''simple docstring'''






					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(__a       )]:.2f}MiB'''       )
										UpperCamelCase__       :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'''       )



'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__snake_case											=					abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)


def       a				(      __a       )  ->     Optional[int]:



					'''simple docstring'''






					from diffusers.utils.testing_utils import pytest_addoption_shared

					pytest_addoption_shared(__a       )







def       a				(      __a       )  ->     str:



					'''simple docstring'''






					from diffusers.utils.testing_utils import pytest_terminal_summary_main

					UpperCamelCase__       :Union[str, Any]							 =			terminalreporter.config.getoption('''--make-reports'''       )
					if make_reports:
										pytest_terminal_summary_main(__a			, id=__a       )