






"""simple docstring"""







from __future__ import annotations






def 						lowercase__(A						)    ->List[str]:




						"""simple docstring"""



						for i in range(1 ,		len(matrix[0]						)						):
												matrix[0][i] += matrix[0][i - 1]

						# preprocessing the first column
						for i in range(1 ,		len(_lowerCAmelCase						)						):
												matrix[i][0] += matrix[i - 1][0]

						# updating the path cost for current position
						for i in range(1 ,		len(_lowerCAmelCase						)						):
												for j in range(1 ,		len(matrix[0]						)						):
																		matrix[i][j] += min(matrix[i - 1][j] ,		matrix[i][j - 1]						)

						return matrix[-1][-1]


if __name__ == "__main__":
			import doctest

			doctest.testmod()














"""simple docstring"""







import os
from pathlib import Path





def 						lowercase__()    ->List[Any]:




						"""simple docstring"""



						from torch.utils.cpp_extension import load

						lowercase__    :				Any=	Path(A						).resolve().parent.parent.parent / "kernels" / "deformable_detr"
						lowercase__    :				Any=	[
						    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






