






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase								=						{
    """configuration_jukebox""": [
        """JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """JukeboxConfig""",
        """JukeboxPriorConfig""",
        """JukeboxVQVAEConfig""",
    ],
    """tokenization_jukebox""": ["""JukeboxTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase								=						[
		    """JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """JukeboxModel""",
		    """JukeboxPreTrainedModel""",
		    """JukeboxVQVAE""",
		    """JukeboxPrior""",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

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










from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase	:     Optional[Any]   =logging.get_logger(__name__)

_UpperCAmelCase	:     str   ={
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class  snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__					:     Optional[Any]    =							"""vit_mae"""




						def __init__( self      ,  __lowercase=7_6_8      ,  __lowercase=1_2      ,  __lowercase=1_2      ,  __lowercase=3_0_7_2      ,  __lowercase="gelu"      ,  __lowercase=0.0      ,  __lowercase=0.0      ,  __lowercase=0.02      ,  __lowercase=1e-12      ,  __lowercase=2_2_4      ,  __lowercase=1_6      ,  __lowercase=3      ,  __lowercase=True      ,  __lowercase=1_6      ,  __lowercase=5_1_2      ,  __lowercase=8      ,  __lowercase=2_0_4_8      ,  __lowercase=0.75      ,  __lowercase=False      ,  **__lowercase      ,  )    ->			str:
										super().__init__(**__lowercase							)

										lowerCAmelCase_       :					Dict			 = hidden_size
										lowerCAmelCase_       :					Any			 = num_hidden_layers
										lowerCAmelCase_       :					Any			 = num_attention_heads
										lowerCAmelCase_       :					int			 = intermediate_size
										lowerCAmelCase_       :					Dict			 = hidden_act
										lowerCAmelCase_       :					int			 = hidden_dropout_prob
										lowerCAmelCase_       :					str			 = attention_probs_dropout_prob
										lowerCAmelCase_       :					List[str]			 = initializer_range
										lowerCAmelCase_       :					Dict			 = layer_norm_eps
										lowerCAmelCase_       :					Union[str, Any]			 = image_size
										lowerCAmelCase_       :					Optional[int]			 = patch_size
										lowerCAmelCase_       :					Tuple			 = num_channels
										lowerCAmelCase_       :					List[str]			 = qkv_bias
										lowerCAmelCase_       :					List[Any]			 = decoder_num_attention_heads
										lowerCAmelCase_       :					int			 = decoder_hidden_size
										lowerCAmelCase_       :					Optional[int]			 = decoder_num_hidden_layers
										lowerCAmelCase_       :					Tuple			 = decoder_intermediate_size
										lowerCAmelCase_       :					Tuple			 = mask_ratio
										lowerCAmelCase_       :					Any			 = norm_pix_loss