






import os
from pathlib import Path
def 		_a       ( )				->     Dict:
 from torch.utils.cpp_extension import load

 a						    = Path(a					).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
 a						    = [
     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'''      ,				a      ,				with_cuda=a      ,				extra_include_paths=[str(a					)]      ,				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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase__							  =						{
    "configuration_biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig"],
    "tokenization_biogpt": ["BioGptTokenizer"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						[
         "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BioGptForCausalLM",
         "BioGptForTokenClassification",
         "BioGptForSequenceClassification",
         "BioGptModel",
         "BioGptPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

     UpperCAmelCase__							  =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


