Tensorflow.js – tf.div()
Scenario 1: Work With Scalar
Scalar will store only one value. But anyway, it returns a tensor.
Syntax
Parameters
scalar1 and scalar2 are the tensors that can take only one value as a parameter.
Return
Return quotient of two scalar values.
Example
Create two scalars and perform a division of two scalars.
<!– CDN Link that delivers the Tensorflow.js framework –>
<script src=«https://cdn.jsdelivr.net/npm/@tensorflow/tfjs»></script>
<body>
<script>
//scalar1
let value1 = tf.scalar(30);
//scalar2
let value2 = tf.scalar(70);
document.write(«Scalar-1: «,value1);
document.write(«<br>»);
document.write(«<br>»);
document.write(«Scalar-2: «,value2);
</script>
<h3>Tensorflow.js – tf.div() </h3>
<script>
//tf.div(value1,value2)
document.write(tf.div(value1,value2));
</script>
</body>
</html>
Output
Working
30/70 = 0.4285714030265808.
Scenario 2: Work With Tensor
A tensor can store multiple values; it can be single or multi-dimensional.
Syntax
Parameters
tensor1 and tensor2 are the tensors that can take only single or multiple values as a parameter.
Return
Return quotient of two tensors concerning each element.
We must notice that the total number of elements in both the tensors must be equal.
Example 1
Create two one-dimensional tensors and return the quotient using tf.div().
<!– CDN Link that delivers the Tensorflow.js framework –>
<script src=«https://cdn.jsdelivr.net/npm/@tensorflow/tfjs»></script>
<body>
<script>
//tensor1
let values1 = tf.tensor1d([10,20,30,40,50]);
//tensor2
let values2 = tf.tensor1d([1,2,3,4,5]);
document.write(«Tensor-1: «,values1);
document.write(«<br>»);
document.write(«<br>»);
document.write(«Tensor-2: «,values2);
</script>
<h3>Tensorflow.js – tf.div() </h3>
<script>
//tf.div(values1,values2)
document.write(tf.div(values1,values2));
</script>
</body>
</html>
Output
Working
[10/1,20/2,30/3,40/4,50/5] => Tensor [10, 10, 10, 10, 10].
Example 2
Create 2 two-dimensional tensors with 2 rows and 3 columns and apply tf.div().
<!– CDN Link that delivers the Tensorflow.js framework –>
<script src=«https://cdn.jsdelivr.net/npm/@tensorflow/tfjs»></script>
<body>
<script>
//tensor1
let values1 = tf.tensor2d([1,2,3,4,5,6],[2,3]);
//tensor2
let values2 = tf.tensor2d([34,10,20,30,40,50],[2,3]);
document.write(«Tensor-1: «,values1);
document.write(«<br>»);
document.write(«<br>»);
document.write(«Tensor-2: «,values2);
</script>
<h3>Tensorflow.js – tf.div() </h3>
<script>
//tf.div(values1,values2)
document.write(tf.div(values1,values2));
</script>
</body>
</html>
Output
Working
[[1/34,2/10,3/20],[4/30,5/40,6/50]] => [[0.0294118, 0.2 , 0.15], [0.1333333, 0.125, 0.12]].
Scenario 3: Work With Tensor & Scalar
It can be possible to divide each element in a tensor by a scalar.
Syntax
Example
Create a one-dimensional tensor and a scalar and perform division using tf.div().
<!– CDN Link that delivers the Tensorflow.js framework –>
<script src=«https://cdn.jsdelivr.net/npm/@tensorflow/tfjs»></script>
<body>
<script>
//tensor
let values1 = tf.tensor1d([10,20,30,4,5,6]);
//scalar
let value2 = tf.scalar(10);
document.write(«Tensor: «,values1);
document.write(«<br>»);
document.write(«<br>»);
document.write(«Scalar: «,value2);
</script>
<h3>Tensorflow.js – tf.div() </h3>
<script>
//tf.div(values1,value2)
document.write(tf.div(values1,value2));
</script>
</body>
</html>
Output
Working
[10/10, 20/10, 30/10, 4/10, 5/10, 6/10] => [1, 2, 3, 0.4, 0.5, 0.6].
Conclusion
tf.div() in tensorflow.js is used to perform division and return element-wise quotients. We discussed three scenarios to divide a tensor by a scalar.
Also, we noticed that scalar will store only one value and returns a tensor. While performing tf.div() on two tensors, ensure that the number of elements in two tensors must be the same.
