PyTorch .acos()

In PyTorch, the .acos() function computes the inverse cosine (arccos) of each element in the input tensor. The result is given in radians and lies in the range [0, π]. It is useful in trigonometric calculations and neural network applications where angles need to be determined from cosine values.

Syntax

torch.acos(input, *, out=None)

• input: The input tensor containing values in the range [-1, 1], since the arccosine function is only defined within this interval.
• out (Optional): A tensor to store the output. If provided, it must have the same shape as input.

Example

The following example demonstrates the usage of the .acos() function:

import torch

# Define a tensor
input_tensor = torch.tensor([-1.0, -0.5, 0.0, 0.5, 1.0])

# Compute the inverse cosine of each element in the input tensor
output_tensor = torch.acos(input_tensor)

# Print the resultant tensor
print(output_tensor)

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The above code produces the following output:

tensor([3.1416, 2.0944, 1.5708, 1.0472, 0.0000])

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