





'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


__lowercase  :   Tuple						      =logging.get_logger(__name__)

__lowercase  :   Union[str, Any]						      ={
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}

class      A       (	__SCREAMING_SNAKE_CASE						):
      _snake_case							     ='''roberta-prelayernorm'''



      def __init__(	self:						str		,  _lowerCAmelCase:						List[str]=5_0265		,  _lowerCAmelCase:						Union[str, Any]=768		,  _lowerCAmelCase:						Tuple=12		,  _lowerCAmelCase:						int=12		,  _lowerCAmelCase:						Any=3072		,  _lowerCAmelCase:						Optional[int]="gelu"		,  _lowerCAmelCase:						List[Any]=0.1		,  _lowerCAmelCase:						int=0.1		,  _lowerCAmelCase:						Union[str, Any]=512		,  _lowerCAmelCase:						Dict=2		,  _lowerCAmelCase:						int=0.02		,  _lowerCAmelCase:						Any=1e-12		,  _lowerCAmelCase:						Optional[int]=1		,  _lowerCAmelCase:						Dict=0		,  _lowerCAmelCase:						Optional[int]=2		,  _lowerCAmelCase:						Any="absolute"		,  _lowerCAmelCase:						Union[str, Any]=True		,  _lowerCAmelCase:						List[str]=None		,  **_lowerCAmelCase:						Optional[int]		,  )						->    List[str]:
         '''simple docstring'''

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

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

class      A       (	__SCREAMING_SNAKE_CASE						):



      @property
      def 	lowerCAmelCase__    (	self:						Any       )						->    str:
         '''simple docstring'''

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











__lowercase  :   Dict						      ="""0.21.0"""

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
     from .utils import rich




