Python - tensorflow.math.unsorted_segment_sqrt_n()

Introduction

The tensorflow.math.unsorted_segment_sqrt_n() function is a mathematical operation in TensorFlow that computes the element-wise square root of the sum of N elements in each segment of a given tensor. It is useful in cases where you want to compute the square root of the sum of elements within each segment of a tensor, without the need to sort the tensor.

Syntax

tensorflow.math.unsorted_segment_sqrt_n(
    data,
    segment_ids,
    num_segments,
    name=None
)

Parameters

• data: A Tensor representing the input tensor.
• segment_ids: A Tensor of type int32 or int64 with the same shape as data. It specifies the segment index for each element in data.
• num_segments: A Tensor or a constant int32 representing the number of segments in the output tensor.
• name (optional): An optional name for the operation.

Return Value

The function returns a Tensor with the same shape as data, where each element is the square root of the sum of N elements within each segment.

Example

import tensorflow as tf

# Create an input tensor
data = tf.constant([4.0, 9.0, 16.0, 25.0, 36.0])

# Create segment indices
segment_ids = tf.constant([0, 1, 1, 0, 2])

# Compute unsorted segment square root
output = tf.math.unsorted_segment_sqrt_n(data, segment_ids, 3)

print(output.numpy())  # Output: [2.236068 3.464102 3.464102 2.236068 6.0]

Explanation

In the above example, we have an input tensor data with five elements. We also have a segment_ids tensor that assigns a segment index to each element in data. The num_segments parameter is set to 3, indicating that the output tensor should have three segments.

The unsorted_segment_sqrt_n() function computes the square root of the sum of elements within each segment specified by segment_ids. The output is an element-wise square root of the sum of elements in each segment. The result is [2.236068, 3.464102, 3.464102, 2.236068, 6.0].

This function is handy when you want to perform computations on segments of a tensor without sorting the tensor, and you need to compute the square root of the sum for each segment.