PyTorch .log10()

In PyTorch, the .log10() function computes the base-10 logarithm of each element in the input tensor. Mathematically, this is equivalent to applying the function $y_i = \log_{10}(x_i)$ element-wise, where $log_{10}$ is the base-10 logarithm.

Syntax

torch.log10(input, *, out=None) → Tensor

Parameters:

• input: The input tensor containing elements for which the logarithm will be computed.
• out (optional): A tensor to store the output. If provided, the result is written to this tensor. Must have the same shape as input.

Return value:

Returns a new tensor where each element is the base-10 logarithm of the corresponding element in input.

Example

The following example shows how to compute the element-wise logarithm base 10 of a tensor using torch.log10():

import torch
import math

# Define a tensor
x = torch.tensor([5.0 , 6.0 , 7.0 , math.log(2.) ])

# Compute the logarithm base 10
result = torch.log10(x)

print(result)

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Here is the output:

tensor([ 0.6990,  0.7782,  0.8451, -0.1592])

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