/TensorFlow Python


Unit tests

TensorFlow provides a convenience class inheriting from unittest.TestCase which adds methods relevant to TensorFlow tests. Here is an example:

import tensorflow as tf

class SquareTest(tf.test.TestCase):

  def testSquare(self):
    with self.test_session():
      x = tf.square([2, 3])
      self.assertAllEqual(x.eval(), [4, 9])

if __name__ == '__main__':

tf.test.TestCase inherits from unittest.TestCase but adds a few additional methods. See tf.test.TestCase for details.


Note: tf.test.mock is an alias to the python mock or unittest.mock depending on the python version.

Gradient checking

tf.test.compute_gradient and tf.test.compute_gradient_error perform numerical differentiation of graphs for comparison against registered analytic gradients.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.