Tensorflow是Google開發的開源機器學習庫。它的應用之一是開發深度神經網絡。
模塊tensorflow.math
為許多基本的數學運算提供支持。函數tf.abs()
[別名tf.math.abs
]為Tensorflow中的絕對函數提供支持。它期望以複數形式輸入為或浮點數。輸入類型為張量,如果輸入包含多個元素,則將按元素計算絕對值。
對於複數,絕對值計算為。
對於浮點數,絕對值計算為
用法:tf.abs(x, name=None) or tf.math.abs(x, name=None)
參數:
x:類型為float16,float32,float64,int32,int64,complex64或complex128的Tensor或SparseTensor。
name(可選):操作的名稱。
返回類型:具有與x相同的大小和類型的Tensor或SparseTensor,具有絕對值。對於complex64或complex128輸入,返回的Tensor將分別為float32或float64類型。
代碼1:用於浮點數
# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 5
a = tf.constant([-0.5, -0.1, 0, 0.1, 0.5], dtype = tf.float32)
# Applying the abs function and
# storing the result in 'b'
b = tf.abs(a, name ='abs')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input type:', a)
print('Input:', sess.run(a))
print('Return type:', b)
print('Output:', sess.run(b))
輸出:
Input type:Tensor("Const:0", shape=(5, ), dtype=float32) Input:[-0.5 -0.1 0. 0.1 0.5] Return Type:Tensor("abs:0", shape=(5, ), dtype=float32) Output:[0.5 0.1 0. 0.1 0.5]
代碼2:可視化
# Importing the Tensorflow library
import tensorflow as tf
# Importing the NumPy library
import numpy as np
# Importing the matplotlib.pylot function
import matplotlib.pyplot as plt
# A vector of size 11 with values from -5 to 5
a = np.linspace(-5, 5, 11)
# Applying the absolute function and
# storing the result in 'b'
b = tf.abs(a, name ='abs')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input:', a)
print('Output:', sess.run(b))
plt.plot(a, sess.run(b), color = 'red', marker = "o")
plt.title("tensorflow.abs")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
輸出:
Input:[-5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5.] Output:[5. 4. 3. 2. 1. 0. 1. 2. 3. 4. 5.]
代碼3:用於複數
# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 2
a = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]],
dtype = tf.complex64)
# Applying the abs function and
# storing the result in 'b'
b = tf.abs(a, name ='abs')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input type:', a)
print('Input:', sess.run(a))
print('Return type:', b)
print('Output:', sess.run(b))
輸出:
Input type:Tensor("Const_1:0", shape=(2, 1), dtype=complex64) Input:[[-2.25+4.75j] [-3.25+5.75j]] Return Type:Tensor("abs_1:0", shape=(2, 1), dtype=float32) Output:[[5.255949 ] [6.6049223]]
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注:本文由純淨天空篩選整理自sanskar27jain大神的英文原創作品 Python | Tensorflow abs() method。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。