Python - tensorflow.math.floordiv()

Python - tensorflow.math.floordiv()

tensorflow.math.floordiv() is a function in TensorFlow that performs element-wise division of two tensors, followed by a floor operation on the result. In simpler terms, it's like a normal division, but the result is always rounded down (towards negative infinity) to the nearest integer.

Let's go through its usage with an example:

import tensorflow as tf # Define two tensors x = tf.constant([7.0, 8.9, -10.1, -11.2, 0]) y = tf.constant([2.0, 2.0, 3.0, 3.0, 1]) # Perform floor division result = tf.math.floordiv(x, y) # Convert the result tensor to numpy and print print(result.numpy())

Output:

[ 3. 4. -4. -4. 0.]

Explanation:

  • 7.0 / 2.0 = 3.5 -> floored to 3.0
  • 8.9 / 2.0 = 4.45 -> floored to 4.0
  • -10.1 / 3.0 = -3.3666... -> floored to -4.0
  • -11.2 / 3.0 = -3.7333... -> floored to -4.0
  • 0 / 1 = 0

The function can be useful in various scenarios where you need element-wise division with results that are integers, especially when you want results to always be rounded down.

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