"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A			   = {
    "configuration_git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitVisionConfig"],
    "processing_git": ["GitProcessor"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __A			   = [
           "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "GitForCausalLM",
           "GitModel",
           "GitPreTrainedModel",
           "GitVisionModel",
       ]

if TYPE_CHECKING:
       from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
       from .processing_git import GitProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_git import (
                  GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GitForCausalLM,
                  GitModel,
                  GitPreTrainedModel,
                  GitVisionModel,
              )

else:
       import sys

       __A			   = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

"""simple docstring"""






from typing import List

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


__A			   = logging.get_logger(__name__)

__A			   = {
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}


class     UpperCAmelCase						(_UpperCAmelCase  ):



    """simple docstring"""

    _UpperCAmelCase	:Optional[Any]						    = "efficientformer"






    def __init__(   self    ,			_UpperCAmelCase = [3, 2, 6, 4]    ,			_UpperCAmelCase = [48, 96, 224, 448]    ,			_UpperCAmelCase = [True, True, True, True]    ,			_UpperCAmelCase = 448    ,			_UpperCAmelCase = 32    ,			_UpperCAmelCase = 4    ,			_UpperCAmelCase = 7    ,			_UpperCAmelCase = 5    ,			_UpperCAmelCase = 8    ,			_UpperCAmelCase = 4    ,			_UpperCAmelCase = 0.0    ,			_UpperCAmelCase = 16    ,			_UpperCAmelCase = 3    ,			_UpperCAmelCase = 3    ,			_UpperCAmelCase = 3    ,			_UpperCAmelCase = 2    ,			_UpperCAmelCase = 1    ,			_UpperCAmelCase = 0.0    ,			_UpperCAmelCase = 1    ,			_UpperCAmelCase = True    ,			_UpperCAmelCase = True    ,			_UpperCAmelCase = 1e-5    ,			_UpperCAmelCase = "gelu"    ,			_UpperCAmelCase = 0.02    ,			_UpperCAmelCase = 1e-1_2    ,			_UpperCAmelCase = 224    ,			_UpperCAmelCase = 1e-0_5    ,			**_UpperCAmelCase    ,			):
       super().__init__(**_UpperCAmelCase							)

       lowercase__:   List[str]					=      hidden_act
       lowercase__:   Union[str, Any]					=      hidden_dropout_prob
       lowercase__:   Union[str, Any]					=      hidden_sizes
       lowercase__:   Any					=      num_hidden_layers
       lowercase__:   int					=      num_attention_heads
       lowercase__:   Dict					=      initializer_range
       lowercase__:   Optional[int]					=      layer_norm_eps
       lowercase__:   int					=      patch_size
       lowercase__:   int					=      num_channels
       lowercase__:   str					=      depths
       lowercase__:   List[str]					=      mlp_expansion_ratio
       lowercase__:   List[str]					=      downsamples
       lowercase__:   List[str]					=      dim
       lowercase__:   Optional[Any]					=      key_dim
       lowercase__:   Union[str, Any]					=      attention_ratio
       lowercase__:   Any					=      resolution
       lowercase__:   Any					=      pool_size
       lowercase__:   List[Any]					=      downsample_patch_size
       lowercase__:   Optional[int]					=      downsample_stride
       lowercase__:   Union[str, Any]					=      downsample_pad
       lowercase__:   List[Any]					=      drop_path_rate
       lowercase__:   Optional[Any]					=      num_metaad_blocks
       lowercase__:   Any					=      distillation
       lowercase__:   Optional[int]					=      use_layer_scale
       lowercase__:   List[str]					=      layer_scale_init_value
       lowercase__:   Dict					=      image_size
       lowercase__:   List[str]					=      batch_norm_eps
