函数说明：np.lib.stride_tricks.sliding_window_view(arr, window_shape)
参数说明：
arr：要创建滑动窗口视图的数组。
window_shape：滑动窗口的形状，表示切割出的小块的大小。

作用：用于创建滑动窗口视图。对多维数组进行滑动窗口操作，从而以指定的形状和步幅切割数组。

import numpy as np

# 创建一个 3D 数组
arr = np.arange(64).reshape(4, 4, 4)
print("原始数组：", arr)
print("原始数组形状：", arr.shape)

# 定义窗口大小
window_shape = (2, 2, 2)

# 创建滑动窗口视图
window_view = np.lib.stride_tricks.sliding_window_view(arr, window_shape)
print("滑动窗口视图形状：", window_view.shape)

# 打印所有小块
# print("所有小块：")
# for block in window_view:
#     print(block)

# 通过索引获取特定的小立方体
for x in range(window_view.shape[1]):
    for y in range(window_view.shape[2]):
        selected_block = window_view[0, x, y]
        print(x, y)
        print(selected_block)

输出结果如下：

原始数组： [[[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]
  [12 13 14 15]]

 [[16 17 18 19]
  [20 21 22 23]
  [24 25 26 27]
  [28 29 30 31]]

 [[32 33 34 35]
  [36 37 38 39]
  [40 41 42 43]
  [44 45 46 47]]

 [[48 49 50 51]
  [52 53 54 55]
  [56 57 58 59]
  [60 61 62 63]]]
原始数组形状： (4, 4, 4)
滑动窗口视图形状： (3, 3, 3, 2, 2, 2)
0 0
[[[ 0  1]
  [ 4  5]]

 [[16 17]
  [20 21]]]
0 1
[[[ 1  2]
  [ 5  6]]

 [[17 18]
  [21 22]]]
0 2
[[[ 2  3]
  [ 6  7]]

 [[18 19]
  [22 23]]]
1 0
[[[ 4  5]
  [ 8  9]]

 [[20 21]
  [24 25]]]
1 1
[[[ 5  6]
  [ 9 10]]

 [[21 22]
  [25 26]]]
1 2
[[[ 6  7]
  [10 11]]

 [[22 23]
  [26 27]]]
2 0
[[[ 8  9]
  [12 13]]

 [[24 25]
  [28 29]]]
2 1
[[[ 9 10]
  [13 14]]

 [[25 26]
  [29 30]]]
2 2
[[[10 11]
  [14 15]]

 [[26 27]
  [30 31]]]