def testBasic(self):
g = tf.Graph()
# Define a function
# foo(a:float, b:float, c:float)->u:float,v:float,w:float
# u = matmul(a, b) + c
# v = u^2
# w = u + v
# TODO(zhifengc): replaces w/ a nicer @decorator sugar.
foo = tf.Graph()
with foo.as_default():
a = tf.placeholder(tf.float32, name="a")
b = tf.placeholder(tf.float32, name="b")
c = tf.placeholder(tf.float32, name="c")
u = tf.add(tf.matmul(a, b), c, name="u")
v = tf.square(u, name="v")
w = tf.add_n([u, v], name="w")
fdef = function.graph_to_function_def(foo, "foo", [a, b, c], [u, v, w])
g._add_function(fdef)
# Compute 2 * 3 + 4 and its square.
with g.as_default(), tf.Session() as sess:
two = tf.constant(self._mat(2.0), name="two")
three = tf.constant(self._mat(3.0), name="three")
four = tf.constant(self._mat(4.0), name="four")
# TODO(zhifengc): w/ @decorator sugar, we will just do:
# y, s, t = foo_func(two, three, four)
# The graph contains two ops each of which calls foo.
u0, v0, w0 = g.create_op("foo",
[two, three, four],
[tf.float32, tf.float32, tf.float32],
compute_shapes=False).outputs
u1, v1, w1 = g.create_op("foo",
[four, two, three],
[tf.float32, tf.float32, tf.float32],
compute_shapes=False).outputs
# Checks some property of the graph def.
gdef = g.as_graph_def()
self.assertEqual(len(gdef.node), 5) # 5 nodes added.
self.assertEqual(len(gdef.library.function), 1) # 1 function is defined.
for _ in xrange(10):
# Run the graph, which is basicly two function calls.
ans_u0, ans_v0, ans_w0, ans_u1, ans_v1, ans_w1 = sess.run([u0, v0, w0,
u1, v1, w1])
self.assertAllEqual(ans_u0, self._mat(10.0)) # 2 * 3 + 4 = 10
self.assertAllEqual(ans_v0, self._mat(100.0)) # 10^2 = 100
self.assertAllEqual(ans_w0, self._mat(110.0)) # 100 + 10 = 110
self.assertAllEqual(ans_u1, self._mat(11.0)) # 4 * 2 + 3 = 11
self.assertAllEqual(ans_v1, self._mat(121.0)) # 11^2 = 121
self.assertAllEqual(ans_w1, self._mat(132.0)) # 11 + 121 = 132
def testBasic(self):
g = tf.Graph()
# Define a function
# foo(a:float, b:float, c:float)->u:float,v:float,w:float
# u = matmul(a, b) + c
# v = u^2
# w = u + v
# TODO(zhifengc): replaces w/ a nicer @decorator sugar.
foo = tf.Graph()
with foo.as_default():
a = tf.placeholder(tf.float32, name="a")
b = tf.placeholder(tf.float32, name="b")
c = tf.placeholder(tf.float32, name="c")
u = tf.add(tf.matmul(a, b), c, name="u")
v = tf.square(u, name="v")
w = tf.add_n([u, v], name="w")
fdef = function.graph_to_function_def(foo, "foo", [a, b, c], [u, v, w])
g._add_function(fdef)
# Compute 2 * 3 + 4 and its square.
with g.as_default(), tf.Session() as sess:
two = tf.constant(self._mat(2.0), name="two")
three = tf.constant(self._mat(3.0), name="three")
four = tf.constant(self._mat(4.0), name="four")
# TODO(zhifengc): w/ @decorator sugar, we will just do:
# y, s, t = foo_func(two, three, four)
# The graph contains two ops each of which calls foo.
u0, v0, w0 = g.create_op("foo",
[two, three, four],
[tf.float32, tf.float32, tf.float32],
compute_shapes=False).outputs
u1, v1, w1 = g.create_op("foo",
[four, two, three],
[tf.float32, tf.float32, tf.float32],
compute_shapes=False).outputs
# Checks some property of the graph def.
gdef = g.as_graph_def()
self.assertEqual(len(gdef.node), 5) # 5 nodes added.
self.assertEqual(len(gdef.library.function), 1) # 1 function is defined.
for _ in xrange(10):
# Run the graph, which is basicly two function calls.
ans_u0, ans_v0, ans_w0, ans_u1, ans_v1, ans_w1 = sess.run([u0, v0, w0,
u1, v1, w1])
self.assertAllEqual(ans_u0, self._mat(10.0)) # 2 * 3 + 4 = 10
self.assertAllEqual(ans_v0, self._mat(100.0)) # 10^2 = 100
self.assertAllEqual(ans_w0, self._mat(110.0)) # 100 + 10 = 110
self.assertAllEqual(ans_u1, self._mat(11.0)) # 4 * 2 + 3 = 11
self.assertAllEqual(ans_v1, self._mat(121.0)) # 11^2 = 121
self.assertAllEqual(ans_w1, self._mat(132.0)) # 11 + 121 = 132
