在TensorFlow中对张量进行切片很困难

import tensorflow as tf

# 创建一个形状为(3, 4, 5)的张量
tensor = tf.constant([[[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]]])

# 对张量进行切片
sliced_tensor = tensor[1:3, :, 1:4]

print(sliced_tensor)

tf.Tensor(
[[[22 23 24]
  [27 28 29]
  [32 33 34]
  [37 38 39]]

 [[42 43 44]
  [47 48 49]
  [52 53 54]
  [57 58 59]]], shape=(2, 4, 3), dtype=int32)