Python - tensorflow.math.asin()

Python - tensorflow.math.asin()

The tensorflow.math.asin() function in TensorFlow computes the inverse sine (or arcsine) of a given tensor element-wise. For an input tensor x, this function returns a tensor with the same shape as x, and each element is the arcsine of the corresponding element in x.

Here's how you can use tensorflow.math.asin():

Example:

import tensorflow as tf # Create a tensor x = tf.constant([-1.0, -0.5, 0.0, 0.5, 1.0], dtype=tf.float32) # Compute the arcsine of the tensor y = tf.math.asin(x) # Start a TensorFlow session and evaluate y with tf.Session() as sess: result = sess.run(y) print(result)

Output:

[-1.5707964 -0.5235988 0. 0.5235988 1.5707964]

Note:

  • The input values of the tensor should be in the range [-1, 1] as the domain of the arcsine function is [-1, 1].
  • The resulting values will be in the range [-��/2, ��/2] (or in radians [-1.5708, 1.5708]).
  • If you're using TensorFlow 2.x, you don't need to start a session. Instead, you can directly evaluate tensors using .numpy().

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