def test_repeat_fn_exterior_value_static(self):
add_op = LambdaOp(inputs='x',
outputs=('x', 'y'),
fn=lambda w: (w + 1, w * w),
mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y, z: y + z < 25)
repeat_op.build('tf')
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x', 'z'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
x = [tf.ones([1]), 10 + tf.ones([1])]
output = tf.function(lambda y: repeat_op.forward(data=y,
state={
"deferred": {},
"mode": "eval"
}))
output(x)
output = output(x)
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(5, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(16, output[1])
def test_repeat_fn_exterior_value_tf(self):
add_op = LambdaOp(inputs='x',
outputs=('x', 'y'),
fn=lambda x: (x + 1, x * x),
mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y, z: y + z < 25)
repeat_op.build('tf')
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x', 'z'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
with tf.GradientTape(persistent=True) as tape:
output = repeat_op.forward(data=[tf.ones([1]), 10 + tf.ones([1])],
state={
"deferred": {},
"mode": "eval",
"tape": tape
})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(5, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(16, output[1])
def test_single_repeat_fn_interior_value_static(self):
add_op = LambdaOp(inputs='x',
outputs=('x', 'y'),
fn=lambda z: (z + 1, z * z),
mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y: y < 1)
repeat_op.build('tf')
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
x = [tf.ones([1])]
output = tf.function(lambda y: repeat_op.forward(data=y,
state={
"deferred": {},
"mode": "eval"
}))
output(x) # build the graph
output = output(x)
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(2, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(1, output[1])
def test_multi_repeat_fn_interior_value_tf(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y: y < 25)
repeat_op.build('tf')
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[tf.ones([1])], state={"deferred": {}, "mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(6, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(25, output[1])