



"""simple docstring"""






from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase				:				Tuple   		=		logging.get_logger(__name__)

_lowercase				:				List[str]   		=		{
    "google/efficientnet-b7": "https://huggingface.co/google/efficientnet-b7/resolve/main/config.json",
}

class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							'efficientnet'



					def __init__( self							:						str,						lowerCamelCase							:						int = 3,						lowerCamelCase							:						int = 600,						lowerCamelCase							:						float = 2.0,						lowerCamelCase							:						float = 3.1,						lowerCamelCase							:						int = 8,						lowerCamelCase							:						List[int] = [3, 3, 5, 3, 5, 5, 3],						lowerCamelCase							:						List[int] = [32, 16, 24, 40, 80, 112, 192],						lowerCamelCase							:						List[int] = [16, 24, 40, 80, 112, 192, 320],						lowerCamelCase							:						List[int] = [],						lowerCamelCase							:						List[int] = [1, 2, 2, 2, 1, 2, 1],						lowerCamelCase							:						List[int] = [1, 2, 2, 3, 3, 4, 1],						lowerCamelCase							:						List[int] = [1, 6, 6, 6, 6, 6, 6],						lowerCamelCase							:						float = 0.25,						lowerCamelCase							:						str = "swish",						lowerCamelCase							:						int = 2560,						lowerCamelCase							:						str = "mean",						lowerCamelCase							:						float = 0.02,						lowerCamelCase							:						float = 0.001,						lowerCamelCase							:						float = 0.99,						lowerCamelCase							:						float = 0.5,						lowerCamelCase							:						float = 0.2,						**lowerCamelCase							:						Tuple,						)->      Optional[int]:
								super().__init__(**lowerCamelCase  )

								lowerCamelCase__	:	int				=num_channels
								lowerCamelCase__	:	int				=image_size
								lowerCamelCase__	:	int				=width_coefficient
								lowerCamelCase__	:	List[Any]				=depth_coefficient
								lowerCamelCase__	:	Optional[int]				=depth_divisor
								lowerCamelCase__	:	Optional[int]				=kernel_sizes
								lowerCamelCase__	:	str				=in_channels
								lowerCamelCase__	:	Optional[Any]				=out_channels
								lowerCamelCase__	:	Optional[int]				=depthwise_padding
								lowerCamelCase__	:	int				=strides
								lowerCamelCase__	:	str				=num_block_repeats
								lowerCamelCase__	:	List[Any]				=expand_ratios
								lowerCamelCase__	:	Dict				=squeeze_expansion_ratio
								lowerCamelCase__	:	Dict				=hidden_act
								lowerCamelCase__	:	int				=hidden_dim
								lowerCamelCase__	:	str				=pooling_type
								lowerCamelCase__	:	str				=initializer_range
								lowerCamelCase__	:	List[str]				=batch_norm_eps
								lowerCamelCase__	:	List[Any]				=batch_norm_momentum
								lowerCamelCase__	:	Tuple				=dropout_rate
								lowerCamelCase__	:	Tuple				=drop_connect_rate
								lowerCamelCase__	:	Union[str, Any]				=sum(lowerCamelCase  ) * 4





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							version.parse('1.11'     )



					@property
					def 	snake_case ( self							:						Any  )->      Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]  )




					@property
					def 	snake_case ( self							:						Optional[Any]  )->      float:
								return 1E-5









"""simple docstring"""






_lowercase				:				Optional[Any]   		=		{
    "Pillow": "Pillow<10.0.0",
    "accelerate": "accelerate>=0.20.3",
    "av": "av==9.2.0",
    "beautifulsoup4": "beautifulsoup4",
    "black": "black~=23.1",
    "codecarbon": "codecarbon==1.2.0",
    "cookiecutter": "cookiecutter==1.7.3",
    "dataclasses": "dataclasses",
    "datasets": "datasets!=2.5.0",
    "decord": "decord==0.6.0",
    "deepspeed": "deepspeed>=0.9.3",
    "diffusers": "diffusers",
    "dill": "dill<0.3.5",
    "evaluate": "evaluate>=0.2.0",
    "fairscale": "fairscale>0.3",
    "faiss-cpu": "faiss-cpu",
    "fastapi": "fastapi",
    "filelock": "filelock",
    "flax": "flax>=0.4.1,<=0.7.0",
    "ftfy": "ftfy",
    "fugashi": "fugashi>=1.0",
    "GitPython": "GitPython<3.1.19",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.14.1,<1.0",
    "importlib_metadata": "importlib_metadata",
    "ipadic": "ipadic>=1.0.0,<2.0",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2,<=0.4.13",
    "jaxlib": "jaxlib>=0.1.65,<=0.4.13",
    "jieba": "jieba",
    "kenlm": "kenlm",
    "keras-nlp": "keras-nlp>=0.3.1",
    "librosa": "librosa",
    "nltk": "nltk",
    "natten": "natten>=0.14.6",
    "numpy": "numpy>=1.17",
    "onnxconverter-common": "onnxconverter-common",
    "onnxruntime-tools": "onnxruntime-tools>=1.4.2",
    "onnxruntime": "onnxruntime>=1.4.0",
    "opencv-python": "opencv-python",
    "optuna": "optuna",
    "optax": "optax>=0.0.8,<=0.1.4",
    "packaging": "packaging>=20.0",
    "parameterized": "parameterized",
    "phonemizer": "phonemizer",
    "protobuf": "protobuf",
    "psutil": "psutil",
    "pyyaml": "pyyaml>=5.1",
    "pydantic": "pydantic<2",
    "pytest": "pytest>=7.2.0",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "python": "python>=3.8.0",
    "ray[tune]": "ray[tune]",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "rhoknp": "rhoknp>=1.1.0,<1.3.1",
    "rjieba": "rjieba",
    "rouge-score": "rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1",
    "ruff": "ruff>=0.0.241,<=0.0.259",
    "sacrebleu": "sacrebleu>=1.4.12,<2.0.0",
    "sacremoses": "sacremoses",
    "safetensors": "safetensors>=0.3.1",
    "sagemaker": "sagemaker>=2.31.0",
    "scikit-learn": "scikit-learn",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "sigopt": "sigopt",
    "starlette": "starlette",
    "sudachipy": "sudachipy>=0.6.6",
    "sudachidict_core": "sudachidict_core>=20220729",
    "tensorflow-cpu": "tensorflow-cpu>=2.6,<2.14",
    "tensorflow": "tensorflow>=2.6,<2.14",
    "tensorflow-text": "tensorflow-text<2.14",
    "tf2onnx": "tf2onnx",
    "timeout-decorator": "timeout-decorator",
    "timm": "timm",
    "tokenizers": "tokenizers>=0.11.1,!=0.11.3,<0.14",
    "torch": "torch>=1.9,!=1.12.0",
    "torchaudio": "torchaudio",
    "torchvision": "torchvision",
    "pyctcdecode": "pyctcdecode>=0.4.0",
    "tqdm": "tqdm>=4.27",
    "unidic": "unidic>=1.0.2",
    "unidic_lite": "unidic_lite>=1.0.7",
    "urllib3": "urllib3<2.0.0",
    "uvicorn": "uvicorn",
}




