📜  Tensorflow.js tf.zerosLike()函数

📅  最后修改于: 2022-05-13 01:56:27.080000             🧑  作者: Mango

Tensorflow.js tf.zerosLike()函数

Tensorflow.js 是谷歌开发的一个开源库,用于在浏览器或节点环境中运行机器学习模型和深度学习神经网络。 tf.zeroslIke()用于创建一个tf.tensor ,通过传递参数值,所有元素都设置为 '0',形状与给定张量相同。

句法:

tf.zerosLike(value)

参数:它接受上面提到的单个参数,如下所述:

  • value:张量的值,可以是简单的或嵌套的 Array 或 TypedArray 的数字。我们在这里传递所需形状的张量。

返回值:它返回所需形状的张量。

注意:上述函数不会改变原始张量。

示例 1:在此示例中,我们使用 tf.tensor 使用 tf.zeroslike() 方法。

Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor([1, 2, 3, 4, 5, 6, 7]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)


Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor1d([1, 2, 3]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)


Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor2d([[1, 2], [3, 4]]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)


Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor3d([[[1], [2]], [[3], [4]]]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)


Javascript
// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor4d([[[[1], [2]], [[3], [4]]]])
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)


Tensor
    [0, 0, 0, 0, 0, 0, 0]
Original tensor:
Tensor
    [1, 2, 3, 4, 5, 6, 7]

示例 2:在此示例中,我们使用 tf.tensor1d() 方法创建张量并应用 tf.zerosLike 方法。

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor1d([1, 2, 3]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)
Tensor
    [0, 0, 0]
Original tensor:
Tensor
    [1, 2, 3]

示例 3:在此示例中,我们使用 tf.tensfor2d() 方法创建张量并应用 tf.zerosLike 方法。

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor2d([[1, 2], [3, 4]]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)
​Tensor
    [[0, 0],
     [0, 0]]
Original tensor:
Tensor
    [[1, 2],
     [3, 4]]

示例 4:在此示例中,我们将使用 tensor3d() 方法创建张量并应用 tf.zerosLike() 方法。

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor3d([[[1], [2]], [[3], [4]]]);
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)
Tensor
    [[[0],
      [0]],

     [[0],
      [0]]]
Original tensor:
Tensor
    [[[1],
      [2]],

     [[3],
      [4]]]

示例 5:在此示例中,我们使用 tensor4d() 方法创建张量并应用 tf.zerosLike() 方法。

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
  
// Creating the tensor
var val = tf.tensor4d([[[[1], [2]], [[3], [4]]]])
  
//using tf.zeroslike() and printing the tensor
tf.zerosLike(val).print()
  
// Printing the tensor
tf.print("Original tensor:\n"+val)
Tensor
    [[[[0],
       [0]],

      [[0],
       [0]]]]
Original tensor:
Tensor
    [[[[1],
       [2]],

      [[3],
       [4]]]]

参考: https://js.tensorflow.org/api/latest/#zerosLike