Ejemplo n.º 1
0
def get_cuda_version():
    from torch.utils import collect_env
    cuda_version = collect_env.get_running_cuda_version(
        collect_env.run).split('.')
    major, minor = int(cuda_version[0]), int(cuda_version[1])
    cuda_version = major * 10 + minor
    return f'{cuda_version}'
Ejemplo n.º 2
0
def get_cuda_version():
    from torch.utils import collect_env
    running_cuda_version = collect_env.get_running_cuda_version(
        collect_env.run)
    cuda_version = torch.version.cuda
    if running_cuda_version is not None:
        assert cuda_version in running_cuda_version, \
                f'PyTorch is built with CUDA version: {cuda_version}.\n' \
                f'The current running CUDA version is: {running_cuda_version}'
    return cuda_version
Ejemplo n.º 3
0
def get_cuda_version():
    import torch
    from torch.utils import collect_env
    running_cuda_version = collect_env.get_running_cuda_version(
        collect_env.run)
    cuda_version = torch.version.cuda
    if running_cuda_version is not None:
        assert cuda_version in running_cuda_version, \
                f'PyTorch is built with CUDA version: {cuda_version}.\n' \
                f'The current running CUDA version is: {running_cuda_version}'
    cuda_version = cuda_version.split('.')
    major, minor = int(cuda_version[0]), int(cuda_version[1])
    cuda_version = major * 10 + minor
    return f'{cuda_version}'