现有两个 np 数组，shape分别问 100*180 和 100*1 ，即代码中的data和label 我想合并成 100*2的 数组，代码如下

ls = []
for i in range(len(data)):
    ls.append([data[i],label[i]])
src = np.asarray(ls)
print(src.shape)
print(src[0])

输出为

(100, 2)
[array([1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0,
       0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1,
       0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0,
       0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0,
       1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1,
       1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0,
       0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0,
       0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1,
       1, 0, 1, 0])
 array([0])]

然后在调用 paddle.to_tensor(src) 时报错：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_16455/4191702599.py in 
     19 print(src.shape)
     20 print(src[0])
---> 21 train_dataset = paddle.to_tensor(src)

 in to_tensor(data, dtype, place, stop_gradient)

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/wrapped_decorator.py in __impl__(func, *args, **kwargs)
     23     def __impl__(func, *args, **kwargs):
     24         wrapped_func = decorator_func(func)
---> 25         return wrapped_func(*args, **kwargs)
     26 
     27     return __impl__

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py in __impl__(*args, **kwargs)
    227         assert in_dygraph_mode(
    228         ), "We only support '%s()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode." % func.__name__
--> 229         return func(*args, **kwargs)
    230 
    231     return __impl__

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/tensor/creation.py in to_tensor(data, dtype, place, stop_gradient)
    170         persistable=False,
    171         zero_copy=False,
--> 172         stop_gradient=stop_gradient)
    173 
    174 

ValueError: (InvalidArgument) Input object type error or incompatible array data type. tensor.set() supports array with bool, float16, float32, float64, int8, int16, int32, int64, uint8 or uint16, please check your input or input array data type. (at /paddle/paddle/fluid/pybind/tensor_py.h:411)

请问改如何修改代码，谢谢