

'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


_snake_case				:				str       							=		logging.get_logger(__name__)

_snake_case				:				List[str]       							=		{
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}

class       A   (		_a   ):
							lowercase_          =    "roberta"







							def __init__(  self	:  Union[str, Any]							,      lowerCAmelCase_	:  Union[str, Any]=5_02_65							,      lowerCAmelCase_	:  Dict=7_68							,      lowerCAmelCase_	:  Any=12							,      lowerCAmelCase_	:  Tuple=12							,      lowerCAmelCase_	:  Tuple=30_72							,      lowerCAmelCase_	:  Union[str, Any]="gelu"							,      lowerCAmelCase_	:  List[Any]=0.1							,      lowerCAmelCase_	:  List[Any]=0.1							,      lowerCAmelCase_	:  Any=5_12							,      lowerCAmelCase_	:  str=2							,      lowerCAmelCase_	:  List[str]=0.0_2							,      lowerCAmelCase_	:  List[Any]=1e-12							,      lowerCAmelCase_	:  str=1							,      lowerCAmelCase_	:  List[str]=0							,      lowerCAmelCase_	:  List[Any]=2							,      lowerCAmelCase_	:  List[Any]="absolute"							,      lowerCAmelCase_	:  Dict=True							,      lowerCAmelCase_	:  Dict=None							,      **lowerCAmelCase_	:  Tuple							,      )      ->							Optional[Any]:


														"""simple docstring"""


														super().__init__(pad_token_id=lowerCAmelCase_							,      bos_token_id=lowerCAmelCase_							,      eos_token_id=lowerCAmelCase_							,      **lowerCAmelCase_ )

														_a     					=    vocab_size
														_a     					=    hidden_size
														_a     					=    num_hidden_layers
														_a     					=    num_attention_heads
														_a     					=    hidden_act
														_a     					=    intermediate_size
														_a     					=    hidden_dropout_prob
														_a     					=    attention_probs_dropout_prob
														_a     					=    max_position_embeddings
														_a     					=    type_vocab_size
														_a     					=    initializer_range
														_a     					=    layer_norm_eps
														_a     					=    position_embedding_type
														_a     					=    use_cache
														_a     					=    classifier_dropout



class       A   (		_a   ):







							@property
							def        __lowerCAmelCase      (  self	:  str )      ->							Mapping[str, Mapping[int, str]]:


														"""simple docstring"""


														if self.task == "multiple-choice":
																					_a     					=    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
														else:
																					_a     					=    {0: '''batch''', 1: '''sequence'''}
														return OrderedDict(
														    [
														        ('''input_ids''', dynamic_axis),
														        ('''attention_mask''', dynamic_axis),
														    ] )







'''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   ):
							lowercase_          =    42
							lowercase_          =    42


if is_transformers_available() and is_torch_available():
				from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline

