Python - PyTorch floor() method Last Updated : 26 May, 2020 Comments Improve Suggest changes Like Article Like Report PyTorch torch.floor() method returns a new tensor which is floor of the elements of input, the largest integer less than or equal to each element. Syntax: torch.floor(input, out=None) Arguments input: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see this concept with the help of few examples: Example 1: Python3 # Importing the PyTorch library import torch # A constant tensor of size n a = torch.FloatTensor([1.5, 4.2, 6.7, 3.9]) print(a) # Applying the floor function and # storing the result in 'out' out = torch.floor(a) print(out) Output: 1.5000 4.2000 6.7000 3.9000 [torch.FloatTensor of size 4] 1 4 6 3 [torch.FloatTensor of size 4] Example 2: Python3 # Importing the PyTorch library import torch # A constant tensor of size n a = torch.FloatTensor([1.59, 4.5999, 6.78, 3.99999]) print(a) # Applying the floor function and # storing the result in 'out' out = torch.floor(a) print(out) Output: 1.5900 4.5999 6.7800 4.0000 [torch.FloatTensor of size 4] 1 4 6 3 [torch.FloatTensor of size 4] Comment More infoAdvertise with us Next Article Python - PyTorch floor() method P PranchalKatiyar Follow Improve Article Tags : Python Python-PyTorch Practice Tags : python Similar Reads Python - PyTorch frac() method PyTorch torch.frac() method computes the fractional portion of each element in input. Syntax: torch.frac(input, out=None) Arguments input: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see this concept with the help of few examples: Example 1: Python3 # Importing t 1 min read Python - PyTorch fmod() method PyTorch torch.fmod() method gives the element-wise remainder of division by divisor. The divisor may be a number or a Tensor. Syntax: torch.fmod(input, div, out=None) Arguments input: This is input tensor. div: This may be a number or a tensor. out: The output tensor. Return: It returns a Tensor. Le 1 min read Python PyTorch log2() method PyTorch log2() method computes the logarithm to the base 2 of the elements of an input tensor. Â It computes the logarithm values element-wise. Â It takes a tensor as an input and returns a new tensor with computed logarithm values. The elements of the input tensor must be between zero and the positiv 4 min read Python - PyTorch div() method 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 1 min read Python - PyTorch clamp() method PyTorch torch.clamp() method clamps all the input elements into the range [ min, max ] and return a resulting tensor. Syntax: torch.clamp(inp, min, max, out=None) Arguments inp: This is input tensor. min: This is a number and specifies the lower-bound of the range to which input to be clamped. max: 2 min read Like