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'])]))
