def testMax(self):
shape = [100]
inputs = tf.random_normal(shape)
clamp = preprocess.Clamp(max_value=0.0)
output = clamp(inputs)
with self.test_session() as sess:
output_np = sess.run(output)
self.assertTrue(np.all(np.less_equal(output_np, np.zeros(shape))))
def testMinAndMax(self):
shape = [100]
inputs = tf.random_normal(shape)
clamp = preprocess.Clamp(min_value=0.0, max_value=0.0)
output = clamp(inputs)
with self.test_session() as sess:
output_np = sess.run(output)
self.assertAllEqual(output_np, np.zeros(shape))
def testShape(self):
shape = [2, 3]
inputs = tf.random_normal(shape)
clamp = preprocess.Clamp(min_value=-1.0, max_value=1.0)
output = clamp(inputs)
self.assertEqual(output.get_shape().as_list(), shape)