


import os
from pathlib import Path



def 	lowerCAmelCase       (						)->       List[Any]:
				from torch.utils.cpp_extension import load

				lowerCAmelCase_       :					Dict			 = Path(_lowercase       ).resolve().parent.parent.parent / """kernels""" / """deformable_detr"""
				lowerCAmelCase_       :					List[str]			 = [
				    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'''       ,      _lowercase       ,      with_cuda=_lowercase       ,      extra_include_paths=[str(_lowercase       )]       ,      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




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a   :			Optional[int]					  =    {
    """configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
    """processing_git""": ["""GitProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a   :			Tuple					  =    [
							    """GIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GitForCausalLM""",
							    """GitModel""",
							    """GitPreTrainedModel""",
							    """GitVisionModel""",
							]

if TYPE_CHECKING:
							from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
							from .processing_git import GitProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_git import (
														    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GitForCausalLM,
														    GitModel,
														    GitPreTrainedModel,
														    GitVisionModel,
														)

else:
							import sys

							a   :			Tuple					  =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

