How to compute the sine of elements of a tensor in PyTorch?

Published December 30, 2021

The torch.sin() method is used to compute tensor element sines. This function produces a new tensor containing the sine values of the original input tensor's members. It accepts a tensor as an input argument and returns a tensor as an output parameter.

How to calculate the sine of tensor elements

Simply follow the steps below to calculate the sine of tensor elements in PyTorch.

· Step 1: Import the necessary library. Torch is the Python library that is needed in all of the following Python examples. Check to see if you've already installed it.

· Step 2: Create a tensor and print it.

· Step 3: Determine torch. Sin (input). It accepts a tensor as an input parameter and returns a new tensor with the sine values of the input's members.

· Step 4: Print the tensor with the sine values of the original input tensor's elements.

Example

T = torch.Tensor([1.3,4.32,4.4,5.3,4.5])

sine_T = torch.sin(T)

Output

The code above will display the following output

tensor([1.3000, 4.3200, 4.4000, 5.3000, 4.5000])

tensor([ 0.9636, -0.9240, -0.9516, -0.8323, -0.9775])

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