Testing

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.main()

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

• tf.test.main
• tf.test.TestCase
• tf.test.test_src_dir_path

Utilities

• tf.test.assert_equal_graph_def
• tf.test.get_temp_dir
• tf.test.is_built_with_cuda
• tf.test.is_gpu_available
• tf.test.gpu_device_name

Gradient checking

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