





import inspect
import os
import unittest
from dataclasses import dataclass

import torch

from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
from accelerate.utils import KwargsHandler

@dataclass
class        __SCREAMING_SNAKE_CASE					(     _a       ):
							snake_case     :      int						     =       0
							snake_case     :      bool						     =       False
							snake_case     :      float						     =       3.0






class        __SCREAMING_SNAKE_CASE					(     unittest.TestCase       ):






							def 				_lowerCamelCase		(						self  ):
														# If no defaults are changed, `to_kwargs` returns an empty dict.
														self.assertDictEqual(MockClass().to_kwargs()  , {}  )
														self.assertDictEqual(MockClass(a=2  ).to_kwargs()  , {"""a""": 2}  )
														self.assertDictEqual(MockClass(a=2  , b=__lowerCAmelCase  ).to_kwargs()  , {"""a""": 2, """b""": True}  )
														self.assertDictEqual(MockClass(a=2  , c=2.25  ).to_kwargs()  , {"""a""": 2, """c""": 2.25}  )






							@require_cuda
							def 				_lowerCamelCase		(						self  ):
														# If no defaults are changed, `to_kwargs` returns an empty dict.
														UpperCamelCase__				     =			GradScalerKwargs(init_scale=1024  , growth_factor=2  )
														AcceleratorState._reset_state()
														UpperCamelCase__				     =			Accelerator(mixed_precision="""fp16"""  , kwargs_handlers=[scaler_handler]  )
														print(accelerator.use_fpaa  )
														UpperCamelCase__				     =			accelerator.scaler

														# Check the kwargs have been applied
														self.assertEqual(scaler._init_scale  , 1024.0  )
														self.assertEqual(scaler._growth_factor  , 2.0  )

														# Check the other values are at the default
														self.assertEqual(scaler._backoff_factor  , 0.5  )
														self.assertEqual(scaler._growth_interval  , 2000  )
														self.assertEqual(scaler._enabled  , __lowerCAmelCase  )







							@require_multi_gpu
							def 				_lowerCamelCase		(						self  ):
														UpperCamelCase__				     =			["""torchrun""", f"""--nproc_per_node={torch.cuda.device_count()}""", inspect.getfile(self.__class__  )]
														execute_subprocess_async(__lowerCAmelCase  , env=os.environ.copy()  )


if __name__ == "__main__":
					UpperCamelCase__											= DistributedDataParallelKwargs(bucket_cap_mb=15, find_unused_parameters=True)
					UpperCamelCase__											= Accelerator(kwargs_handlers=[ddp_scaler])
					UpperCamelCase__											= torch.nn.Linear(100, 200)
					UpperCamelCase__											= accelerator.prepare(model)

					# Check the values changed in kwargs
					UpperCamelCase__											= ""
					UpperCamelCase__											= model.bucket_bytes_cap // (1_024 * 1_024)
					if observed_bucket_cap_map != 15:
										error_msg += f"Kwargs badly passed, should have `15` but found {observed_bucket_cap_map}.\n"
					if model.find_unused_parameters is not True:
										error_msg += f"Kwargs badly passed, should have `True` but found {model.find_unused_parameters}.\n"

					# Check the values of the defaults
					if model.dim != 0:
										error_msg += f"Default value not respected, should have `0` but found {model.dim}.\n"
					if model.broadcast_buffers is not True:
										error_msg += f"Default value not respected, should have `True` but found {model.broadcast_buffers}.\n"
					if model.gradient_as_bucket_view is not False:
										error_msg += f"Default value not respected, should have `False` but found {model.gradient_as_bucket_view}.\n"

					# Raise error at the end to make sure we don't stop at the first failure.
					if len(error_msg) > 0:
										raise ValueError(error_msg)











import inspect
import unittest

class        __SCREAMING_SNAKE_CASE					(     unittest.TestCase       ):






							def 				_lowerCamelCase		(						self  ):
														try:
																					import diffusers  # noqa: F401
														except ImportError:
																					assert False







							def 				_lowerCamelCase		(						self  ):
														import diffusers
														from diffusers.dependency_versions_table import deps

														UpperCamelCase__				     =			inspect.getmembers(__lowerCAmelCase  , inspect.isclass  )

														for cls_name, cls_module in all_classes:
																					if "dummy_" in cls_module.__module__:
																												for backend in cls_module._backends:
																																			if backend == "k_diffusion":
																																										UpperCamelCase__				     =			"""k-diffusion"""
																																			elif backend == "invisible_watermark":
																																										UpperCamelCase__				     =			"""invisible-watermark"""
																																			assert backend in deps, f"""{backend} is not in the deps table!"""




