





'''simple docstring'''

from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available


@dataclass
class  a_					(    _a	):

    '''simple docstring'''
    UpperCamelCase			   =			{
        '''sld_warmup_steps''': 15,
        '''sld_guidance_scale''': 20,
        '''sld_threshold''': 0.0,
        '''sld_momentum_scale''': 0.0,
        '''sld_mom_beta''': 0.0,
    }
    UpperCamelCase			   =			{
        '''sld_warmup_steps''': 10,
        '''sld_guidance_scale''': 10_00,
        '''sld_threshold''': 0.01,
        '''sld_momentum_scale''': 0.3,
        '''sld_mom_beta''': 0.4,
    }
    UpperCamelCase			   =			{
        '''sld_warmup_steps''': 7,
        '''sld_guidance_scale''': 20_00,
        '''sld_threshold''': 0.0_25,
        '''sld_momentum_scale''': 0.5,
        '''sld_mom_beta''': 0.7,
    }
    UpperCamelCase			   =			{
        '''sld_warmup_steps''': 0,
        '''sld_guidance_scale''': 50_00,
        '''sld_threshold''': 1.0,
        '''sld_momentum_scale''': 0.5,
        '''sld_mom_beta''': 0.7,
    }




@dataclass
class  a_					(    _a	):

    '''simple docstring'''
    UpperCamelCase			   =			42
    UpperCamelCase			   =			42
    UpperCamelCase			   =			42
    UpperCamelCase			   =			42


if is_transformers_available() and is_torch_available():
      from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
      from .safety_checker import SafeStableDiffusionSafetyChecker










'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


lowercase_         =			logging.get_logger(__name__)

lowercase_         =			{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}


class  a_					(    snake_case_	):

    '''simple docstring'''
    UpperCamelCase			   =			'''rembert'''


    def __init__(		self			,		A=25_0300			,		A=1152			,		A=32			,		A=18			,		A=256			,		A=1664			,		A=4608			,		A="gelu"			,		A=0.0			,		A=0.0			,		A=0.1			,		A=512			,		A=2			,		A=0.02			,		A=1e-12			,		A=True			,		A=0			,		A=312			,		A=313			,		**A			,		)		->       Dict:
        super().__init__(pad_token_id=A			,		bos_token_id=A			,		eos_token_id=A			,		**A	)

        _SCREAMING_SNAKE_CASE     =      vocab_size
        _SCREAMING_SNAKE_CASE     =      input_embedding_size
        _SCREAMING_SNAKE_CASE     =      output_embedding_size
        _SCREAMING_SNAKE_CASE     =      max_position_embeddings
        _SCREAMING_SNAKE_CASE     =      hidden_size
        _SCREAMING_SNAKE_CASE     =      num_hidden_layers
        _SCREAMING_SNAKE_CASE     =      num_attention_heads
        _SCREAMING_SNAKE_CASE     =      intermediate_size
        _SCREAMING_SNAKE_CASE     =      hidden_act
        _SCREAMING_SNAKE_CASE     =      hidden_dropout_prob
        _SCREAMING_SNAKE_CASE     =      attention_probs_dropout_prob
        _SCREAMING_SNAKE_CASE     =      classifier_dropout_prob
        _SCREAMING_SNAKE_CASE     =      initializer_range
        _SCREAMING_SNAKE_CASE     =      type_vocab_size
        _SCREAMING_SNAKE_CASE     =      layer_norm_eps
        _SCREAMING_SNAKE_CASE     =      use_cache
        _SCREAMING_SNAKE_CASE     =      False




class  a_					(    snake_case_	):

    '''simple docstring'''


    @property
    def       snake_case_(		self	)		->       Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
            _SCREAMING_SNAKE_CASE     =      {0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
            _SCREAMING_SNAKE_CASE     =      {0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ("""input_ids""", dynamic_axis),
                ("""attention_mask""", dynamic_axis),
                ("""token_type_ids""", dynamic_axis),
            ]	)





    @property
    def       snake_case_(		self	)		->       float:
        return 1e-4



