PyTorch .rad2deg()

The .rad2deg() function in PyTorch converts the elements of a tensor from radians to degrees. This is useful for trigonometric and rotational operations when working with angular measurements. The operation is performed element-wise, meaning it applies the conversion formula ($$\text{degrees} = \text{radians} \times \frac{180}{\pi}$$) to every value in the tensor, returning a new tensor with the results.

This function is available for tensors with floating-point data types such as torch.float16, torch.float32, or torch.float64.

Syntax

torch.rad2deg(input)

Parameters:

• input (Tensor): A tensor containing angular values in radians.

Return value:

Returns a tensor containing the degree equivalents of the original tensor’s elements. The returned tensor has the same size and data type as the original input tensor.

Example

This example demonstrates how to use .rad2deg() to convert common angular values ($\pi$ radians and $\frac{\pi}{2}$ radians) into degrees:

import torch
import math

# Create a tensor with values in radians
radians_tensor = torch.tensor([
  math.pi / 2,
  math.pi,
  0.0
])

print("Original Tensor (Radians):")
print(radians_tensor)

# Convert radians to degrees using torch.rad2deg()
degrees_tensor = torch.rad2deg(radians_tensor)

print("\nConverted Tensor (Degrees):")
print(degrees_tensor)

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The output of this code is:

Original Tensor (Radians):
tensor([1.5708, 3.1416, 0.0000])

Converted Tensor (Degrees):
tensor([ 90.0000, 180.0000,   0.0000])

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