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# Testing
[TOC]
## Unit tests
TensorFlow provides a convenience class inheriting from `unittest.TestCase`
which adds methods relevant to TensorFlow tests. Here is an example:
```python
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
Note: `tf.test.mock` is an alias to the python `mock` or `unittest.mock`
depending on the python version.
* `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.
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