'''simple docstring'''




import inspect

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


if is_flax_available():
 import jax


@require_flax
class    UpperCAmelCase__	:






   """simple docstring"""
   def 		_lowerCamelCase			(self					)     ->  Union[str, Any]:
        lowercase_					,lowercase_       :							List[str]  					=       self.prepare_init_args_and_inputs_for_common()

        lowercase_       :							Optional[Any]  					=       self.model_class(**_a					)
        lowercase_       :							Tuple  					=       model.init(inputs_dict['prng_key']							,					inputs_dict['sample']					)
        jax.lax.stop_gradient(_a					)

        lowercase_       :							str  					=       model.apply(_a							,					inputs_dict['sample']					)

        if isinstance(_a							,					_a					):
             lowercase_       :							List[str]  					=       output.sample

        self.assertIsNotNone(_a					)
        lowercase_       :							str  					=       inputs_dict['sample'].shape
        self.assertEqual(output.shape							,					_a							,					'Input and output shapes do not match'					)
   def 		_lowerCamelCase			(self					)     ->  Optional[int]:
        lowercase_					,lowercase_       :							int  					=       self.prepare_init_args_and_inputs_for_common()

        lowercase_       :							Dict  					=       16
        lowercase_       :							List[str]  					=       (16, 32)

        lowercase_       :							Optional[int]  					=       self.model_class(**_a					)
        lowercase_       :							List[Any]  					=       model.init(inputs_dict['prng_key']							,					inputs_dict['sample']					)
        jax.lax.stop_gradient(_a					)

        lowercase_       :							Dict  					=       model.apply(_a							,					inputs_dict['sample']					)

        if isinstance(_a							,					_a					):
             lowercase_       :							str  					=       output.sample

        self.assertIsNotNone(_a					)
        lowercase_       :							Tuple  					=       inputs_dict['sample'].shape
        self.assertEqual(output.shape							,					_a							,					'Input and output shapes do not match'					)





   def 		_lowerCamelCase			(self					)     ->  Optional[Any]:
        lowercase_       :							Tuple  					=       'kwargs' in inspect.signature(self.model_class.__init__					).parameters
        lowercase_       :							List[str]  					=       len(self.model_class._deprecated_kwargs					) > 0

        if has_kwarg_in_model_class and not has_deprecated_kwarg:
             raise ValueError(
                 f'''{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs'''
                 ' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'
                 ' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='
                 ' [<deprecated_argument>]`'					)

        if not has_kwarg_in_model_class and has_deprecated_kwarg:
             raise ValueError(
                 f'''{self.model_class} doesn\'t have `**kwargs` in its __init__ method but has defined deprecated kwargs'''
                 ' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'
                 f''' {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument'''
                 ' from `_deprecated_kwargs = [<deprecated_argument>]`'					)





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_A										= {
    'configuration_rwkv': ['RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RwkvConfig', 'RwkvOnnxConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A										= [
     'RWKV_PRETRAINED_MODEL_ARCHIVE_LIST',
     'RwkvForCausalLM',
     'RwkvModel',
     'RwkvPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_rwkv import (
      RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
      RwkvForCausalLM,
      RwkvModel,
      RwkvPreTrainedModel,
  )
else:
 import sys

 _A										= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




