def test_feed(self): sess = tf.Session() placeholder_lt = io_ops.placeholder(tf.float32, []) two_times = 2.0 * placeholder_lt result = sess.run(two_times, {placeholder_lt.tensor: 1}) self.assertEqual(result, 2.0)
def test(self): placeholder_lt = io_ops.placeholder(tf.float32, ['batch', ('x', ['a', 'b'])]) self.assertEqual(placeholder_lt.dtype, tf.float32) self.assertEqual(placeholder_lt.axes, core.Axes([('batch', None), ('x', ['a', 'b'])]))
def test_name(self): placeholder_lt = io_ops.placeholder(tf.float32, []) self.assertIn('lt_placeholder', placeholder_lt.name)
def test_name(self): placeholder_lt = io_ops.placeholder(dtypes.float32, []) self.assertIn('lt_placeholder', placeholder_lt.name)
def test_feed(self): sess = session.Session() placeholder_lt = io_ops.placeholder(dtypes.float32, []) two_times = 2.0 * placeholder_lt result = sess.run(two_times, {placeholder_lt.tensor: 1}) self.assertEqual(result, 2.0)
def test(self): placeholder_lt = io_ops.placeholder(dtypes.float32, ['batch', ('x', ['a', 'b'])]) self.assertEqual(placeholder_lt.dtype, dtypes.float32) self.assertEqual(placeholder_lt.axes, core.Axes([('batch', None), ('x', ['a', 'b'])]))