Python – PyTorch div() method Last Updated : 26 May, 2020 Improve Improve Like Article Like Save Share Report PyTorch torch.div() method divides every element of the input with a constant and returns a new modified tensor. 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: # 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) 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: # 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) 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] Like Article Suggest improvement Next Python - PyTorch add() method Share your thoughts in the comments Add Your Comment Please Login to comment... Similar Reads PyTorch vs PyTorch Lightning Python | PyTorch sin() method Python | PyTorch sinh() method Python | PyTorch cosh() method Python | PyTorch tanh() method Python | PyTorch cos() method Python | PyTorch tan() method Python | PyTorch asin() method Python | PyTorch acos() method Python | PyTorch atan() method Like P PranchalKatiyar Follow Article Tags : Python-PyTorch Python Practice Tags : python