type.py 文件源码

def may_share_memory(a, b):
        # This is Fred suggestion for a quick and dirty way of checking
        # aliasing .. this can potentially be further refined (ticket #374)
        if _is_sparse(a) and _is_sparse(b):
            return (SparseType.may_share_memory(a, b.data) or
                    SparseType.may_share_memory(a, b.indices) or
                    SparseType.may_share_memory(a, b.indptr))
        if _is_sparse(b) and isinstance(a, numpy.ndarray):
            a, b = b, a
        if _is_sparse(a) and isinstance(b, numpy.ndarray):
            if (numpy.may_share_memory(a.data, b) or
                    numpy.may_share_memory(a.indices, b) or
                    numpy.may_share_memory(a.indptr, b)):
                # currently we can't share memory with a.shape as it is a tuple
                return True
        return False