import torch

torch.ops.load_library('torch_sparse/convert_cpu.so')
torch.ops.load_library('torch_sparse/diag_cpu.so')
torch.ops.load_library('torch_sparse/spmm_cpu.so')

try:
    torch.ops.load_library('torch_sparse/convert_cuda.so')
    torch.ops.load_library('torch_sparse/diag_cuda.so')
    torch.ops.load_library('torch_sparse/spmm_cuda.so')
    torch.ops.load_library('torch_sparse/spspmm_cuda.so')
except OSError as e:
    if torch.cuda.is_available():
        raise e


def ext(is_cuda):
    name = 'torch_sparse_cuda' if is_cuda else 'torch_sparse_cpu'
    return getattr(torch.ops, name)


def is_scalar(other):
    return isinstance(other, int) or isinstance(other, float)