"""simple docstring"""


import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  return EnvironmentCommand()


class 							a					(		lowerCAmelCase_ ):


    @staticmethod
    def   lowerCAmelCase_	(       __lowerCAmelCase						:	ArgumentParser       ):
      _UpperCAmelCase    			=   parser.add_parser("""env"""       )
      download_parser.set_defaults(func=__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   huggingface_hub.__version__

      _UpperCAmelCase    			=   """not installed"""
      _UpperCAmelCase    			=   """NA"""
      if is_torch_available():
        import torch

        _UpperCAmelCase    			=   torch.__version__
        _UpperCAmelCase    			=   torch.cuda.is_available()

      _UpperCAmelCase    			=   """not installed"""
      if is_transformers_available():
        import transformers

        _UpperCAmelCase    			=   transformers.__version__

      _UpperCAmelCase    			=   """not installed"""
      if is_accelerate_available():
        import accelerate

        _UpperCAmelCase    			=   accelerate.__version__

      _UpperCAmelCase    			=   """not installed"""
      if is_xformers_available():
        import xformers

        _UpperCAmelCase    			=   xformers.__version__

      _UpperCAmelCase    			=   {
          """`diffusers` version""": version,
          """Platform""": platform.platform(),
          """Python version""": platform.python_version(),
          """PyTorch version (GPU?)""": f'''{pt_version} ({pt_cuda_available})''',
          """Huggingface_hub version""": hub_version,
          """Transformers version""": transformers_version,
          """Accelerate version""": accelerate_version,
          """xFormers version""": xformers_version,
          """Using GPU in script?""": """<fill in>""",
          """Using distributed or parallel set-up in script?""": """<fill in>""",
      }

      print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"""       )
      print(self.format_dict(__lowerCAmelCase       )       )

      return info


    @staticmethod
    def   lowerCAmelCase_	(       __lowerCAmelCase						:	List[str]       ):
      return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]       ) + "\n"

"""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


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Tuple  				=				'efficientnet'


    def __init__(       self						:	int ,					__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						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )

      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   image_size
      _UpperCAmelCase    			=   width_coefficient
      _UpperCAmelCase    			=   depth_coefficient
      _UpperCAmelCase    			=   depth_divisor
      _UpperCAmelCase    			=   kernel_sizes
      _UpperCAmelCase    			=   in_channels
      _UpperCAmelCase    			=   out_channels
      _UpperCAmelCase    			=   depthwise_padding
      _UpperCAmelCase    			=   strides
      _UpperCAmelCase    			=   num_block_repeats
      _UpperCAmelCase    			=   expand_ratios
      _UpperCAmelCase    			=   squeeze_expansion_ratio
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   hidden_dim
      _UpperCAmelCase    			=   pooling_type
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   batch_norm_eps
      _UpperCAmelCase    			=   batch_norm_momentum
      _UpperCAmelCase    			=   dropout_rate
      _UpperCAmelCase    			=   drop_connect_rate
      _UpperCAmelCase    			=   sum(__lowerCAmelCase       ) * 4



class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Union[str, Any]  				=				version.parse('1.11' )


    @property
    def   lowerCAmelCase_	(       self						:	Any       ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]       )


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return 1e-5
