>>> a = paddle.randn((3,2))
>>> a
Tensor(shape=[3, 2], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [[ 0.07773950,  0.19835377],
        [-0.81423134,  0.60788709],
        [ 1.38384938,  0.00627374]])
# one-dim List is same as Tensor
>>> a[[0,1]]
Tensor(shape=[2, 2], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [[ 0.07773950,  0.19835377],
        [-0.81423134,  0.60788709]])
>>> a[paddle.to_tensor([0,1])]
Tensor(shape=[2, 2], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [[ 0.07773950,  0.19835377],
        [-0.81423134,  0.60788709]])

# In this case, List is same with Tuple, and different with Tensor/Array
>>> a[[[0],[1]]]
Tensor(shape=[1], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [0.19835377])
>>> a[([0],[1])]
Tensor(shape=[1], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [0.19835377])
>>> a[paddle.to_tensor([[0],[1]])]
Tensor(shape=[2, 1, 2], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [[[ 0.07773950,  0.19835377]],
        [[-0.81423134,  0.60788709]]])