- 案例 1：

    给定:

        input.data = {[[0.6, 0.1, 0.3],
                       [0.5, 0.3, 0.2]],
                      [[1.3],
                       [1.8]],
                      [[2.3, 2.1],
                       [2.5, 2.4]]}

        axis = 1, use_stack = False

    结果:

        output.data = [[0.6, 0.1, 0.3, 1.3, 2.3, 2.1],
                       [0.5, 0.3, 0.2, 1.8, 2.5, 2.4]]

        output_index.data = [3, 1, 2]

- 案例 2：

    给定:

        input.data = {[[0.6, 0.1],
                       [0.5, 0.3]],
                      [[0.3, 1.3],
                       [0.2, 1.8]],
                      [[2.3, 2.1],
                       [2.5, 2.4]]}

        axis = 1, use_stack = False

    结果:

        output.data = [[[0.6, 0.1]
                        [0.3, 1.3]
                        [2.3, 2.1],
                       [[0.5, 0.3]
                        [0.2, 1.8]
                        [2.5, 2.4]]]

        output_index.data = [2, 2, 2]

import paddle.fluid as fluid
import numpy as np
x0 = fluid.layers.assign(np.random.rand(2, 2).astype("float32"))
x1 = fluid.layers.assign(np.random.rand(2, 2).astype("float32"))
i = fluid.layers.fill_constant(shape=[1], dtype="int64", value=0)
array = fluid.layers.create_array(dtype='float32')
fluid.layers.array_write(x0, i, array)
fluid.layers.array_write(x1, i + 1, array)
output, output_index = fluid.layers.tensor_array_to_tensor(input=array)