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"))
