def test_dropout_tensor(self):
with self.test_session():
x = tf.placeholder(tf.float32, [5, 5])
y = tf.get_variable("prob", [], initializer=tf.constant_initializer(0.5))
ops.dropout(x, y)
probs = tf.get_collection(ops.DROPOUTS)
self.assertEqual(probs, [y])
def test_dropout_float(self):
with self.test_session() as session:
x = tf.placeholder(tf.float32, [5, 5])
ops.dropout(x, 0.5)
probs = tf.get_collection(ops.DROPOUTS)
session.run(tf.initialize_all_variables())
self.assertEqual(len(probs), 1)
self.assertEqual(session.run(probs[0]), 0.5)
def test_dropout_float(self):
with self.test_session() as session:
x = tf.placeholder(tf.float32, [5, 5])
y = ops.dropout(x, 0.5)
probs = tf.get_collection(ops.DROPOUTS)
session.run(tf.initialize_all_variables())
self.assertEqual(len(probs), 1)
self.assertEqual(session.run(probs[0]), 0.5)
def test_dropout_tensor(self):
with self.test_session():
x = tf.placeholder(tf.float32, [5, 5])
y = tf.get_variable("prob", [],
initializer=tf.constant_initializer(0.5))
z = ops.dropout(x, y)
probs = tf.get_collection(ops.DROPOUTS)
self.assertEqual(probs, [y])
