

'''simple docstring'''





import os
from pathlib import Path






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

						lowercase   :       List[str]								=Path(__magic_name__	).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
						lowercase   :       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'''      ,   __magic_name__      ,   with_cuda=__magic_name__      ,   extra_include_paths=[str(__magic_name__	)]      ,   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'''





# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import platform
import sys


UpperCamelCase_							=					"""3"""

print("""Python version:""", sys.version)

print("""OS platform:""", platform.platform())
print("""OS architecture:""", platform.machine())

try:
							import torch

							print("""Torch version:""", torch.__version__)
							print("""Cuda available:""", torch.cuda.is_available())
							print("""Cuda version:""", torch.version.cuda)
							print("""CuDNN version:""", torch.backends.cudnn.version())
							print("""Number of GPUs available:""", torch.cuda.device_count())
except ImportError:
							print("""Torch version:""", None)

try:
							import transformers

							print("""transformers version:""", transformers.__version__)
except ImportError:
							print("""transformers version:""", None)





