Python – PyTorch div() method

PyTorch torch.div() method divides every element of the input with a constant and returns a new modified tensor.
Clamp method

Syntax: torch.div(inp, other, out=None)

Arguments

  • inp: This is input tensor.
  • other: This is a number to be divided to each element of input inp.
  • out: The output tensor.

Return: It returns a Tensor.

Let’s see this concept with the help of few examples:
Example 1:



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# Importing the PyTorch library 
import torch 
    
# A constant tensor of size n
a = torch.FloatTensor([1, 4, 6, 8, 10, 14])
print(a)
  
# Applying the div function and 
# storing the result in 'out'
out = torch.div(a, 0.5)
print(out)

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Output:

1
  4
  6
  8
 10
 14
[torch.FloatTensor of size 6]
  2
  8
 12
 16
 20
 28
[torch.FloatTensor of size 6]

Example 2:

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# Importing the PyTorch library 
import torch 
    
# A constant tensor of size n
a = torch.randn(6)
print(a)
  
# Applying the div function and 
# storing the result in 'out'
out = torch.div(a, 0.3)
print(out)

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Output:

 -0.8453
-0.1101
 0.9431
-0.3041
 1.4305
-0.0390
[torch.FloatTensor of size 6]
-2.8176
-0.3669
 3.1436
-1.0137
 4.7683
-0.1300
[torch.FloatTensor of size 6]
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