def _mat_ptrs(a):
    if len(a) == 1:
        return cuda.cupy.full((1,), a.data.ptr, dtype=numpy.uintp)
    else:
        stride = a.strides[0]
        ptr = a.data.ptr
        return cuda.cupy.arange(ptr, ptr + stride * len(a), stride,
                                dtype=numpy.uintp)
Return an existing CA bundle path, or None
dataset/ETHPy150Open pfnet/chainer/chainer/functions/math/matmul.py/_mat_ptrs--crossover with--dataset/ETHPy150Open GeekTrainer/Flask/Work/Trivia - Module 5/env/Lib/site-packages/setuptools/ssl_support.py/find_ca_bundle