Python torch.utils.cpp_extension.CUDAExtension() Examples

The following are 18 code examples of torch.utils.cpp_extension.CUDAExtension(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module torch.utils.cpp_extension , or try the search function .
Example #1
Source File: setup.py    From mmskeleton with Apache License 2.0 6 votes vote down vote up 
def make_cuda_ext(name, module, sources, include_dirs=[]):

    define_macros = []

    if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
        define_macros += [("WITH_CUDA", None)]
    else:
        raise EnvironmentError('CUDA is required to compile MMSkeleton!')

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        define_macros=define_macros,
        include_dirs=include_dirs,
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #2
Source File: setup.py    From Det3D with Apache License 2.0 6 votes vote down vote up 
def make_cuda_ext(name, module, sources, extra_compile_args={}):

    if "cxx" not in extra_compile_args:
        extra_compile_args["cxx"] = []

    nvcc_flags = [
        "-D__CUDA_NO_HALF_OPERATORS__",
        "-D__CUDA_NO_HALF_CONVERSIONS__",
        "-D__CUDA_NO_HALF2_OPERATORS__",
    ]
    if "nvcc" not in extra_compile_args:
        extra_compile_args["nvcc"] = nvcc_flags
    else:
        extra_compile_args["nvcc"] += nvcc_flags

    return CUDAExtension(
        name="{}.{}".format(module, name),
        sources=[os.path.join(*module.split("."), p) for p in sources],
        extra_compile_args=copy.deepcopy(extra_compile_args),
    )
Example #3
Source File: setup.py    From FasterRCNN.pytorch with MIT License 6 votes vote down vote up 
def make_cuda_ext(name, module, sources):
    define_macros = []
    if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
        define_macros += [("WITH_CUDA", None)]
    else:
        raise EnvironmentError('CUDA is required to compile Faster RCNN!')
    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        define_macros=define_macros,
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #4
Source File: setup.py    From L3C-PyTorch with GNU General Public License v3.0 6 votes vote down vote up 
def get_extension(cuda_support):
    # dir of this file
    setup_dir = os.path.dirname(os.path.realpath(__file__))
    # Where the cpp and cu files are
    prefix = os.path.join(setup_dir, MODULE_BASE_NAME)
    if not os.path.isdir(prefix):
        raise ValueError('Did not find backend foler: {}'.format(prefix))
    if cuda_support:
        nvcc_avaible, nvcc_version = supported_nvcc_available()
        if not nvcc_avaible:
            print(_bold_warn_str('***WARN') + ': Found untested nvcc {}'.format(nvcc_version))

        return CUDAExtension(
                MODULE_BASE_NAME + '_gpu',
                prefixed(prefix, ['torchac.cpp', 'torchac_kernel.cu']),
                define_macros=[('COMPILE_CUDA', '1')])
    else:
        return CppExtension(
                MODULE_BASE_NAME + '_cpu',
                prefixed(prefix, ['torchac.cpp']))


# TODO:
# Add further supported version as specified in readme
Example #5
Source File: setup.py    From PolarMask with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #6
Source File: setup.py    From kaggle-kuzushiji-recognition with MIT License 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #7
Source File: setup.py    From RDSNet with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #8
Source File: setup.py    From IoU-Uniform-R-CNN with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #9
Source File: setup.py    From EDVR with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, sources):

    return CUDAExtension(
        name='{}'.format(name), sources=[p for p in sources], extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #10
Source File: setup.py    From mmdetection-annotated with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #11
Source File: setup.py    From FoveaBox with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #12
Source File: setup.py    From Cascade-RPN with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #13
Source File: setup.py    From Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #14
Source File: setup.py    From CenterNet with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #15
Source File: setup.py    From mmsr with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, sources):

    return CUDAExtension(
        name='{}'.format(name), sources=[p for p in sources], extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #16
Source File: setup.py    From seamseg with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def make_extension(name, package):
    return CUDAExtension(
        name="{}.{}._backend".format(package, name),
        sources=find_sources(path.join("src", name)),
        extra_compile_args={
            "cxx": ["-O3"],
            "nvcc": ["--expt-extended-lambda"],
        },
        include_dirs=["include/"],
    )
Example #17
Source File: setup.py    From ttfnet with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, module, sources):

    return CUDAExtension(
        name='{}.{}'.format(module, name),
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })
Example #18
Source File: setup.py    From PoseWarper with Apache License 2.0 5 votes vote down vote up 
def make_cuda_ext(name, sources):
    return CUDAExtension(
        name=name,
        sources=[p for p in sources],
        extra_compile_args={
            'cxx': [],
            'nvcc': [
                '-D__CUDA_NO_HALF_OPERATORS__',
                '-D__CUDA_NO_HALF_CONVERSIONS__',
                '-D__CUDA_NO_HALF2_OPERATORS__',
            ]
        })