Python - tensorflow.math.atan()

Python - tensorflow.math.atan()

tensorflow.math.atan() is a TensorFlow function that computes the trigonometric inverse tangent of a tensor element-wise. It is analogous to the arctangent function in mathematics. The output tensor produced by this function has the same shape as the input tensor.

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

  • First, ensure you have TensorFlow installed:
pip install tensorflow
  • Use tensorflow.math.atan() in your Python code:
import tensorflow as tf # Create a tensor x = tf.constant([0.0, 1.0, -1.0, 0.5]) # Compute atan of the tensor y = tf.math.atan(x) # Run a TensorFlow session to compute the results with tf.Session() as sess: result = sess.run(y) print(result)

Note: In TensorFlow 2.x, there's no need to explicitly run a session. You can directly print the tensor's numpy value:

import tensorflow as tf # Ensure you are using TensorFlow 2.x if not tf.__version__.startswith('2'): raise ValueError('This code requires TensorFlow V2.x') # Create a tensor x = tf.constant([0.0, 1.0, -1.0, 0.5]) # Compute atan of the tensor y = tf.math.atan(x) print(y.numpy())

The output will be the arctangent values of the input tensor elements.

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