Python | PyTorch cosh() method Last Updated : 05 Jan, 2022 Comments Improve Suggest changes Like Article Like Report 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.cosh() provides support for the hyperbolic cosine function in PyTorch. It expects the input in radian form. The input type is tensor and if the input contains more than one element, element-wise hyperbolic cosine is computed. Syntax: torch.cosh(x, out=None) Parameters: x: Input tensor name (optional): Output tensor Return type: A tensor with the same type as that of x. Code #1: Python3 # Importing the PyTorch library import torch # A constant tensor of size 6 a = torch.FloatTensor([1.0, -0.5, 3.4, -2.1, 0.0, -6.5]) print(a) # Applying the cosh function and # storing the result in 'b' b = torch.cosh(a) print(b) Output: 1.0000 -0.5000 3.4000 -2.1000 0.0000 -6.5000 [torch.FloatTensor of size 6] 1.5431 1.1276 14.9987 4.1443 1.0000 332.5716 [torch.FloatTensor of size 6] Code #2: Visualization Python3 # Importing the PyTorch library import torch # Importing the NumPy library import numpy as np # Importing the matplotlib.pyplot function import matplotlib.pyplot as plt # A vector of size 15 with values from -1 to 1 a = np.linspace(-1, 1, 15) # Applying the hyperbolic cosine function and # storing the result in 'b' b = torch.cosh(torch.FloatTensor(a)) print(b) # Plotting plt.plot(a, b.numpy(), color = 'red', marker = "o") plt.title("torch.cosh") plt.xlabel("X") plt.ylabel("Y") plt.show() Output: 1.5431 1.3904 1.2661 1.1678 1.0933 1.0411 1.0102 1.0000 1.0102 1.0411 1.0933 1.1678 1.2661 1.3904 1.5431 [torch.FloatTensor of size 15] Comment More infoAdvertise with us Next Article Python | PyTorch cosh() method V vaibhav29498 Follow Improve Article Tags : Python Python-PyTorch Practice Tags : python Similar Reads Python | PyTorch cos() 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.cos() provides support for the cosine function in PyTorch. It expects the input in radian form and the output is in the range [-1, 2 min read Python | PyTorch acos() 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.acos() provides support for the inverse cosine function in PyTorch. It expects the input to be in the range [-1, 1] and gives the 2 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 ceil() method PyTorch torch.ceil() method returns a new tensor having the ceil value of the elements of input, Which is the smallest integer larger than or equal to each element. Syntax: torch.ceil(inp, out=None) Arguments inp: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see t 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 Like