






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


a_							=    logging.get_logger(__name__)

a_							=    {
    '''naver-clova-ix/donut-base''': '''https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json''',
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}


class      lowercase__     (			_UpperCAmelCase	):
	a_         ="""donut-swin"""

	a_         ={
	    """num_attention_heads""": """num_heads""",
	    """num_hidden_layers""": """num_layers""",
	}

	def __init__(							self		,    __UpperCAmelCase=224		,    __UpperCAmelCase=4		,    __UpperCAmelCase=3		,    __UpperCAmelCase=96		,    __UpperCAmelCase=[2, 2, 6, 2]		,    __UpperCAmelCase=[3, 6, 12, 24]		,    __UpperCAmelCase=7		,    __UpperCAmelCase=4.0		,    __UpperCAmelCase=True		,    __UpperCAmelCase=0.0		,    __UpperCAmelCase=0.0		,    __UpperCAmelCase=0.1		,    __UpperCAmelCase="gelu"		,    __UpperCAmelCase=False		,    __UpperCAmelCase=0.02		,    __UpperCAmelCase=1E-5		,    **__UpperCAmelCase		,    )->					int:







							'''simple docstring'''





							super().__init__(**__UpperCAmelCase       )

							lowerCAmelCase__       =						image_size
							lowerCAmelCase__       =						patch_size
							lowerCAmelCase__       =						num_channels
							lowerCAmelCase__       =						embed_dim
							lowerCAmelCase__       =						depths
							lowerCAmelCase__       =						len(__UpperCAmelCase       )
							lowerCAmelCase__       =						num_heads
							lowerCAmelCase__       =						window_size
							lowerCAmelCase__       =						mlp_ratio
							lowerCAmelCase__       =						qkv_bias
							lowerCAmelCase__       =						hidden_dropout_prob
							lowerCAmelCase__       =						attention_probs_dropout_prob
							lowerCAmelCase__       =						drop_path_rate
							lowerCAmelCase__       =						hidden_act
							lowerCAmelCase__       =						use_absolute_embeddings
							lowerCAmelCase__       =						layer_norm_eps
							lowerCAmelCase__       =						initializer_range
							# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
							# this indicates the channel dimension after the last stage of the model
							lowerCAmelCase__       =						int(embed_dim * 2 ** (len(__UpperCAmelCase       ) - 1)       )














# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    '''pipelines_utils''',
    '''0.22.0''',
    '''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.''',
    standard_warn=False,
    stacklevel=3,
)






