Python – tensorflow.math.polyval()

TensorFlow 是由 Google 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。

polyval()用于计算多项式的元素值。

Syntax: tensorflow.math.polyval( coeffs, x, name)

Parameters:

• coeffs: It is a list tensor which represents the coefficients of the polynomial.
• x: It is a tensor which represents the variable of the polynomial.
• name(optional): It defines the name for the operation.

Returns: It returns a tensor.

如果 coeffs 是具有 n 个值的张量并且 x 是张量，则 P(x) 是 n 阶多项式，其定义为：

p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1)

示例 1：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
coeffs = [-1, 2, 3]
x = tf.constant([7], dtype = tf.int32)
  
# Printing the input tensor
print('coeffs: ', coeffs)
print('x: ', x)
  
# Calculating Result
res = tf.math.polyval(coeffs, x)
  
# Printing the result
print('Result: ', res)

输出：

coeffs:  [-1, 2, 3]
x:  tf.Tensor([7], shape=(1, ), dtype=int32)
Result:  tf.Tensor([-32], shape=(1, ), dtype=int32)

示例 2：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
coeffs = [-1, 2, 3]
x = tf.constant([7, 2], dtype = tf.int32)
  
# Printing the input tensor
print('coeffs: ', coeffs)
print('x: ', x)
  
# Calculating Result
res = tf.math.polyval(coeffs, x)
  
# Printing the result
print('Result: ', res)

输出：

coeffs:  [-1, 2, 3]
x:  tf.Tensor([7 2], shape=(2, ), dtype=int32)
Result:  tf.Tensor([-32   3], shape=(2, ), dtype=int32)