




import inspect
import os
import sys
import unittest

import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu






class  __magic_name__						(  unittest.TestCase):
				'''simple docstring'''







				def     _A							(							self:   Tuple		):
											SCREAMING_SNAKE_CASE_   	=    inspect.getfile(accelerate.test_utils		)
											SCREAMING_SNAKE_CASE_   	=    os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''test_script.py''']		)
											SCREAMING_SNAKE_CASE_   	=    os.path.sep.join(inspect.getfile(self.__class__		).split(os.path.sep		)[:-1]		)





				@require_tpu
				def     _A							(							self:   int		):
											SCREAMING_SNAKE_CASE_   	=    f"\n            {self.test_dir}/xla_spawn.py\n            --num_cores 8\n            {self.test_file_path}\n        ".split()
											SCREAMING_SNAKE_CASE_   	=    [sys.executable] + distributed_args
											execute_subprocess_async(_lowerCamelCase		,					env=os.environ.copy()		)








import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
			import jax






@require_flax
class  __magic_name__						(  __UpperCAmelCase    ,  unittest.TestCase):
				'''simple docstring'''







				SCREAMING_SNAKE_CASE__					:							str	      =					FlaxAutoencoderKL


				@property
				def     _A							(							self:   Any		):
											SCREAMING_SNAKE_CASE_   	=    4
											SCREAMING_SNAKE_CASE_   	=    3
											SCREAMING_SNAKE_CASE_   	=    (32, 32)

											SCREAMING_SNAKE_CASE_   	=    jax.random.PRNGKey(0		)
											SCREAMING_SNAKE_CASE_   	=    jax.random.uniform(_lowerCamelCase		,					((batch_size, num_channels) + sizes)		)

											return {"sample": image, "prng_key": prng_key}





				def     _A							(							self:   List[str]		):
											SCREAMING_SNAKE_CASE_   	=    {
											    '''block_out_channels''': [32, 64],
											    '''in_channels''': 3,
											    '''out_channels''': 3,
											    '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
											    '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
											    '''latent_channels''': 4,
											}
											SCREAMING_SNAKE_CASE_   	=    self.dummy_input
											return init_dict, inputs_dict


