def testAddEvaluationStep(self): with tf.Graph().as_default(): with tf.Session() as sess: tf.placeholder(tf.float32, [1], name='final') tf.placeholder(tf.float32, [1], name='gt') self.assertIsNotNone(retrain.add_evaluation_step(sess.graph, 'final', 'gt'))
def testAddEvaluationStep(self): with tf.Graph().as_default(): final = tf.placeholder(tf.float32, [1], name='final') gt = tf.placeholder(tf.int64, [1], name='gt') self.assertIsNotNone(retrain.add_evaluation_step(final, gt))
def testAddEvaluationStep(self): with tf.Graph().as_default(): final = tf.placeholder(tf.float32, [1], name='final') gt = tf.placeholder(tf.float32, [1], name='gt') self.assertIsNotNone(retrain.add_evaluation_step(final, gt))
def testAddEvaluationStep(self): with tf.Graph().as_default(): with tf.Session() as sess: tf.placeholder(tf.float32, [1], name="final") tf.placeholder(tf.float32, [1], name="gt") self.assertIsNotNone(retrain.add_evaluation_step(sess.graph, "final", "gt"))