Python - PyTorch trunc() method Last Updated : 26 May, 2020 Comments Improve Suggest changes Like Article Like Report PyTorch torch.trunc() method returns a new tensor with the truncated integer values of the elements of input/ after removing the decimal portion of the number. Syntax: torch.trunc(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.randn(6) print(a) # Applying the trunc function and # storing the result in 'out' out = torch.trunc(a) print(out) Output: 1.1257 0.4493 -0.7309 1.5523 -0.2877 0.1155 [torch.FloatTensor of size 6] 1 0 -0 1 -0 0 [torch.FloatTensor of size 6] Example 2: Python3 # Importing the PyTorch library import torch # A constant tensor of size n a = torch.FloatTensor([1.5, 3.9, -6.9, 3.678]) print(a) # Applying the trunc function and # storing the result in 'out' out = torch.trunc(a) print(out) Output: 1.5000 3.9000 -6.9000 3.6780 [torch.FloatTensor of size 4] 1 3 -6 3 [torch.FloatTensor of size 4] Comment More infoAdvertise with us Next Article Python - PyTorch trunc() method P PranchalKatiyar Follow Improve Article Tags : Python Python-PyTorch Practice Tags : python Similar Reads Python | PyTorch tan() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.tan() provides support for the tangent function in PyTorch. It expects the input in radian form and the output is in the range [-∞ 2 min read Python - Pytorch randn() method PyTorch torch.randn() returns a tensor defined by the variable argument size (sequence of integers defining the shape of the output tensor), containing random numbers from standard normal distribution. Syntax: torch.randn(*size, out=None, dtype=None, layout=torch.strided, device=None, requires_grad= 3 min read Python PyTorch zeros() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.zeros() returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size. Syntax: torch.zeros 1 min read Python PyTorch - rsqrt() method PyTorch rsqrt() method computes the reciprocal of the square root of each element of the input tensor. It accepts both real and complex-valued tensors. It returns 'NaN' (not a number) as the reciprocal of the square root of a negative number and 'inf' for zero. Mathematically, the below formula is u 3 min read Python - PyTorch log() method PyTorch torch.log() method gives a new tensor having the natural logarithm of the elements of input tensor. Syntax: torch.log(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: 1 min read Python - PyTorch abs() method PyTorch torch.abs() method computes the element-wise absolute value of the given input tensor. Syntax: torch.abs(inp, out=None) ? Tensor Arguments inp: This is input tensor. out: This is optional parameter and is the output tensor. Return: It returns a Tensor having absolute value of input inp. Let' 1 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 exp() method PyTorch torch.exp() method returns a new tensor after getting the exponent of the elements of the input tensor. Syntax: torch.exp(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 min read Python - PyTorch add() method PyTorch torch.add() method adds a constant value to each element of the input tensor and returns a new modified tensor. Syntax: torch.add(inp, c, out=None) Arguments inp: This is input tensor. c: The value that is to be added to every element of tensor. out: This is optional parameter and it is the 1 min read Python - PyTorch is_storage() method PyTorch torch.is_storage() method returns True if obj is a PyTorch storage object. Syntax: torch.is_storage(object) Arguments object: This is input tensor to be tested. Return: It returns either True or False. Let's see this concept with the help of few examples: Example 1: Python3 # Importing the P 1 min read Like