如何计算 PyTorch 中张量元素的正弦值？
要计算张量元素的正弦值，我们使用该方法。它返回一个新的张量，其中包含原始输入张量元素的正弦值。它以张量作为输入参数并输出张量。torch.sin()
脚步
导入所需的库。在以下所有Python示例中，所需的Python库是torch。确保您已经安装了它。
创建一个张量并打印它。
计算。它接受input，一个张量作为输入参数，并返回一个具有输入元素正弦值的新张量。torch.sin(input)
使用原始输入张量元素的正弦值打印张量。
示例1
# Python program to compute sine of the elements of a tensor
# import necessary library
import torch
# create a tensor
T = torch.Tensor([1.3,4.32,4.4,5.3,4.5])
print("Original Tensor T:\n", T)
# Compute the sine of above tensor
sine_T = torch.sin(T)
print("Sine value of elements of tensor T:\n", sine_T)输出结果Original Tensor T: tensor([1.3000, 4.3200, 4.4000, 5.3000, 4.5000]) Sine value of elements of tensor T: tensor([ 0.9636, -0.9240, -0.9516, -0.8323, -0.9775])
示例2
# Python program to compute sine of the elements of a tensor
# import necessary library
import torch
# Create a 2D tensor of size 3x5
T = torch.Tensor([[1.3,4.32,4.4,5.3,4.5],
[0.2,0.3,0.5,0.7,0.9],
[1.1,1.2,2.3,3.1,4.9]])
print("Original Tensor T:\n", T)
# Compute the sine of above tensor
sine_T = torch.sin(T)
print("Sine value of elements of tensor T:\n", sine_T)输出结果Original Tensor T:
tensor([[1.3000, 4.3200, 4.4000, 5.3000, 4.5000],
[0.2000, 0.3000, 0.5000, 0.7000, 0.9000],
[1.1000, 1.2000, 2.3000, 3.1000, 4.9000]])
Sine value of elements of tensor T:
tensor([[ 0.9636, -0.9240, -0.9516, -0.8323, -0.9775],
[ 0.1987, 0.2955, 0.4794, 0.6442, 0.7833],
[ 0.8912, 0.9320, 0.7457, 0.0416, -0.9825]])