问如何使用pytorch将python列表列表转换为张量

EN

ll = [[3, 5, 10, 11], [1, 5, 10]]
n = len(ll)
m = max(len(l) for l in ll)

ids = [[], []]
values = []
for i, l in enumerate(ll):
    length = len(l)
    ids[0] += [i] * length  # rows
    ids[1] += list(range(length))  # cols
    values += l

t = torch.sparse_coo_tensor(ids, values, (n, m))

corpus = [[3, 5, 10, 11], [1, 5, 10]]
n = len(corpus)
m = max(max(inner) for inner in corpus)
t = torch.zeros(n, m)

for i, doc in enumerate(corpus):
    torch.bincount(corpus)

corpus = [[3, 5, 10, 11], [1, 5, 10]]
n = len(corpus)
m = max(max(inner) for inner in corpus)

t = torch.zeros(n, m)
for i, doc in enumerate(corpus):
    t[i, doc] = 1