
import os
from pathlib import Path


def    A (      )     ->						str:
		'''simple docstring'''

		from torch.utils.cpp_extension import load

		UpperCamelCase					=  Path(lowerCAmelCase__				).resolve().parent.parent.parent / 'kernels' / 'deformable_detr'
		UpperCamelCase					=  [
		    root / filename
		    for filename in [
		        'vision.cpp',
		        os.path.join('cpu'					, 'ms_deform_attn_cpu.cpp'				),
		        os.path.join('cuda'					, 'ms_deform_attn_cuda.cu'				),
		    ]
		]

		load(
		    'MultiScaleDeformableAttention'					, lowerCAmelCase__					, with_cuda=lowerCAmelCase__					, extra_include_paths=[str(lowerCAmelCase__				)]					, extra_cflags=['-DWITH_CUDA=1']					, extra_cuda_cflags=[
		        '-DCUDA_HAS_FP16=1',
		        '-D__CUDA_NO_HALF_OPERATORS__',
		        '-D__CUDA_NO_HALF_CONVERSIONS__',
		        '-D__CUDA_NO_HALF2_OPERATORS__',
		    ]					, )

		import MultiScaleDeformableAttention as MSDA

		return MSDA


from collections import OrderedDict
from typing import Mapping

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


_UpperCAmelCase      :				Tuple          = logging.get_logger(__name__)

_UpperCAmelCase      :				Union[str, Any]          = {
    "facebook/data2vec-text-base": "https://huggingface.co/data2vec/resolve/main/config.json",
}


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Dict			  =       "data2vec-text"



		def __init__(				self       ,   A_=30_522       ,   A_=768       ,   A_=12       ,   A_=12       ,   A_=3_072       ,   A_="gelu"       ,   A_=0.1       ,   A_=0.1       ,   A_=512       ,   A_=2       ,   A_=0.02       ,   A_=1e-12       ,   A_=1       ,   A_=0       ,   A_=2       ,   A_="absolute"       ,   A_=True       ,   A_=None       ,   **A_       ,   )						->      Any:
				"""simple docstring"""
				super().__init__(pad_token_id=A_       ,   bos_token_id=A_       ,   eos_token_id=A_       ,   **A_ )

				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        lowercase      (	_SCREAMING_SNAKE_CASE     ):



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