






import os
from pathlib import Path





def 						lowerCAmelCase_		()		->     Union[str, Any]:


				'''simple docstring'''




				from torch.utils.cpp_extension import load

				lowerCAmelCase__         =    Path(__lowerCAmelCase							).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
				lowerCAmelCase__         =    [
				    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 ...configuration_utils import PretrainedConfig
from ...utils import logging


__magic_name__  							=	logging.get_logger(__name__)

__magic_name__  							=	{
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase			):
      _A    :		Dict     						=  'biogpt'
      def __init__(      self		,						lowerCamelCase=4_23_84		,						lowerCamelCase=10_24		,						lowerCamelCase=24		,						lowerCamelCase=16		,						lowerCamelCase=40_96		,						lowerCamelCase="gelu"		,						lowerCamelCase=0.1		,						lowerCamelCase=0.1		,						lowerCamelCase=10_24		,						lowerCamelCase=0.0_2		,						lowerCamelCase=1e-12		,						lowerCamelCase=True		,						lowerCamelCase=True		,						lowerCamelCase=0.0		,						lowerCamelCase=0.0		,						lowerCamelCase=1		,						lowerCamelCase=0		,						lowerCamelCase=2		,						**lowerCamelCase		,						):
          snake_case__    =					vocab_size
          snake_case__    =					max_position_embeddings
          snake_case__    =					hidden_size
          snake_case__    =					num_hidden_layers
          snake_case__    =					num_attention_heads
          snake_case__    =					intermediate_size
          snake_case__    =					hidden_act
          snake_case__    =					hidden_dropout_prob
          snake_case__    =					attention_probs_dropout_prob
          snake_case__    =					initializer_range
          snake_case__    =					layer_norm_eps
          snake_case__    =					scale_embedding
          snake_case__    =					use_cache
          snake_case__    =					layerdrop
          snake_case__    =					activation_dropout
          super().__init__(pad_token_id=lowerCamelCase		,						bos_token_id=lowerCamelCase		,						eos_token_id=lowerCamelCase		,						**lowerCamelCase			)



