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Python–tensorflow.math.invert_arrangement()

原文:https://www.geesforgeks.org/python-tensorflow-math-invert_arrange/

TensorFlow 是谷歌设计的开源 Python 库，用于开发机器学习模型和深度学习神经网络。

invert_置换()用于计算张量的逆置换。

语法:tensorflow.math.invert_arrangement(x，name)

参数:

  • x: 是一维张量。允许的数据类型是 int32 和 int64。张量值应该在[0，4]的范围内。
  • 名称(可选):定义操作的名称

返回:它将数据类型的张量返回为 x。

例 1:

蟒蛇 3

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([1, 2, 3, 0], dtype = tf.int64)

# Printing the input tensor
print('a: ', a)

# Calculating the result
res = tf.math.invert_permutation(a)

# Printing the result
print('Result: ', res)

输出:

a:  tf.Tensor([1 2 3 0], shape=(4, ), dtype=int64)
Result:  tf.Tensor([3 0 1 2], shape=(4, ), dtype=int64)

示例 2: 本示例使用超出范围的值。它将引发无效文档错误

蟒蛇 3

# Importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([1, 2, 3, 4], dtype = tf.int64)

# Printing the input tensor
print('a: ', a)

# Calculating the result
res = tf.math.invert_permutation(a)

# Printing the result
print('Result: ', res)

输出:

a:  tf.Tensor([1 2 3 4], shape=(4, ), dtype=int64)

---------------------------------------------------------------------------

InvalidArgumentError                      Traceback (most recent call last)

 in ()
      9 
     10 # Calculating the result
---> 11 res = tf.math.invert_permutation(a)
     12 
     13 # Printing the result

2 frames

/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)

InvalidArgumentError: 4 is not between 0 and 4 [Op:InvertPermutation]
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