change remote function invocation from func() to func.remote() (#328)

This commit is contained in:
Robert Nishihara
2016-07-31 15:25:19 -07:00
committed by Philipp Moritz
parent 92f1976e94
commit 0e5b858324
19 changed files with 219 additions and 215 deletions
+61 -61
View File
@@ -16,25 +16,25 @@ class RemoteArrayTest(unittest.TestCase):
ray.services.start_ray_local(num_workers=1)
# test eye
ref = ra.eye(3)
ref = ra.eye.remote(3)
val = ray.get(ref)
self.assertTrue(np.alltrue(val == np.eye(3)))
# test zeros
ref = ra.zeros([3, 4, 5])
ref = ra.zeros.remote([3, 4, 5])
val = ray.get(ref)
self.assertTrue(np.alltrue(val == np.zeros([3, 4, 5])))
# test qr - pass by value
val_a = np.random.normal(size=[10, 11])
ref_q, ref_r = ra.linalg.qr(val_a)
ref_q, ref_r = ra.linalg.qr.remote(val_a)
val_q = ray.get(ref_q)
val_r = ray.get(ref_r)
self.assertTrue(np.allclose(np.dot(val_q, val_r), val_a))
# test qr - pass by objref
a = ra.random.normal([10, 13])
ref_q, ref_r = ra.linalg.qr(a)
a = ra.random.normal.remote([10, 13])
ref_q, ref_r = ra.linalg.qr.remote(a)
val_a = ray.get(a)
val_q = ray.get(ref_q)
val_r = ray.get(ref_r)
@@ -63,8 +63,8 @@ class DistributedArrayTest(unittest.TestCase):
reload(module)
ray.services.start_ray_local(num_workers=1)
a = ra.ones([da.BLOCK_SIZE, da.BLOCK_SIZE])
b = ra.zeros([da.BLOCK_SIZE, da.BLOCK_SIZE])
a = ra.ones.remote([da.BLOCK_SIZE, da.BLOCK_SIZE])
b = ra.zeros.remote([da.BLOCK_SIZE, da.BLOCK_SIZE])
x = da.DistArray()
x.construct([2 * da.BLOCK_SIZE, da.BLOCK_SIZE], np.array([[a], [b]]))
self.assertTrue(np.alltrue(x.assemble() == np.vstack([np.ones([da.BLOCK_SIZE, da.BLOCK_SIZE]), np.zeros([da.BLOCK_SIZE, da.BLOCK_SIZE])])))
@@ -77,68 +77,68 @@ class DistributedArrayTest(unittest.TestCase):
worker_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../scripts/default_worker.py")
ray.services.start_services_local(num_objstores=2, num_workers_per_objstore=5, worker_path=worker_path)
x = da.zeros([9, 25, 51], "float")
self.assertTrue(np.alltrue(ray.get(da.assemble(x)) == np.zeros([9, 25, 51])))
x = da.zeros.remote([9, 25, 51], "float")
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)) == np.zeros([9, 25, 51])))
x = da.ones([11, 25, 49], dtype_name="float")
self.assertTrue(np.alltrue(ray.get(da.assemble(x)) == np.ones([11, 25, 49])))
x = da.ones.remote([11, 25, 49], dtype_name="float")
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)) == np.ones([11, 25, 49])))
x = da.random.normal([11, 25, 49])
y = da.copy(x)
self.assertTrue(np.alltrue(ray.get(da.assemble(x)) == ray.get(da.assemble(y))))
x = da.random.normal.remote([11, 25, 49])
y = da.copy.remote(x)
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)) == ray.get(da.assemble.remote(y))))
x = da.eye(25, dtype_name="float")
self.assertTrue(np.alltrue(ray.get(da.assemble(x)) == np.eye(25)))
x = da.eye.remote(25, dtype_name="float")
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)) == np.eye(25)))
x = da.random.normal([25, 49])
y = da.triu(x)
self.assertTrue(np.alltrue(ray.get(da.assemble(y)) == np.triu(ray.get(da.assemble(x)))))
x = da.random.normal.remote([25, 49])
y = da.triu.remote(x)
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(y)) == np.triu(ray.get(da.assemble.remote(x)))))
x = da.random.normal([25, 49])
y = da.tril(x)
self.assertTrue(np.alltrue(ray.get(da.assemble(y)) == np.tril(ray.get(da.assemble(x)))))
x = da.random.normal.remote([25, 49])
y = da.tril.remote(x)
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(y)) == np.tril(ray.get(da.assemble.remote(x)))))
x = da.random.normal([25, 49])
y = da.random.normal([49, 18])
z = da.dot(x, y)
w = da.assemble(z)
u = da.assemble(x)
v = da.assemble(y)
x = da.random.normal.remote([25, 49])
y = da.random.normal.remote([49, 18])
z = da.dot.remote(x, y)
w = da.assemble.remote(z)
u = da.assemble.remote(x)
v = da.assemble.remote(y)
np.allclose(ray.get(w), np.dot(ray.get(u), ray.get(v)))
self.assertTrue(np.allclose(ray.get(w), np.dot(ray.get(u), ray.get(v))))
# test add
x = da.random.normal([23, 42])
y = da.random.normal([23, 42])
z = da.add(x, y)
self.assertTrue(np.allclose(ray.get(da.assemble(z)), ray.get(da.assemble(x)) + ray.get(da.assemble(y))))
x = da.random.normal.remote([23, 42])
y = da.random.normal.remote([23, 42])
z = da.add.remote(x, y)
self.assertTrue(np.allclose(ray.get(da.assemble.remote(z)), ray.get(da.assemble.remote(x)) + ray.get(da.assemble.remote(y))))
# test subtract
x = da.random.normal([33, 40])
y = da.random.normal([33, 40])
z = da.subtract(x, y)
self.assertTrue(np.allclose(ray.get(da.assemble(z)), ray.get(da.assemble(x)) - ray.get(da.assemble(y))))
x = da.random.normal.remote([33, 40])
y = da.random.normal.remote([33, 40])
z = da.subtract.remote(x, y)
self.assertTrue(np.allclose(ray.get(da.assemble.remote(z)), ray.get(da.assemble.remote(x)) - ray.get(da.assemble.remote(y))))
# test transpose
x = da.random.normal([234, 432])
y = da.transpose(x)
self.assertTrue(np.alltrue(ray.get(da.assemble(x)).T == ray.get(da.assemble(y))))
x = da.random.normal.remote([234, 432])
y = da.transpose.remote(x)
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)).T == ray.get(da.assemble.remote(y))))
# test numpy_to_dist
x = da.random.normal([23, 45])
y = da.assemble(x)
z = da.numpy_to_dist(y)
w = da.assemble(z)
self.assertTrue(np.alltrue(ray.get(da.assemble(x)) == ray.get(da.assemble(z))))
x = da.random.normal.remote([23, 45])
y = da.assemble.remote(x)
z = da.numpy_to_dist.remote(y)
w = da.assemble.remote(z)
self.assertTrue(np.alltrue(ray.get(da.assemble.remote(x)) == ray.get(da.assemble.remote(z))))
self.assertTrue(np.alltrue(ray.get(y) == ray.get(w)))
# test da.tsqr
for shape in [[123, da.BLOCK_SIZE], [7, da.BLOCK_SIZE], [da.BLOCK_SIZE, da.BLOCK_SIZE], [da.BLOCK_SIZE, 7], [10 * da.BLOCK_SIZE, da.BLOCK_SIZE]]:
x = da.random.normal(shape)
x = da.random.normal.remote(shape)
K = min(shape)
q, r = da.linalg.tsqr(x)
x_val = ray.get(da.assemble(x))
q_val = ray.get(da.assemble(q))
q, r = da.linalg.tsqr.remote(x)
x_val = ray.get(da.assemble.remote(x))
q_val = ray.get(da.assemble.remote(q))
r_val = ray.get(r)
self.assertTrue(r_val.shape == (K, shape[1]))
self.assertTrue(np.alltrue(r_val == np.triu(r_val)))
@@ -150,12 +150,12 @@ class DistributedArrayTest(unittest.TestCase):
print "testing dist_modified_lu with d1 = " + str(d1) + ", d2 = " + str(d2)
assert d1 >= d2
k = min(d1, d2)
m = ra.random.normal([d1, d2])
q, r = ra.linalg.qr(m)
l, u, s = da.linalg.modified_lu(da.numpy_to_dist(q))
m = ra.random.normal.remote([d1, d2])
q, r = ra.linalg.qr.remote(m)
l, u, s = da.linalg.modified_lu.remote(da.numpy_to_dist.remote(q))
q_val = ray.get(q)
r_val = ray.get(r)
l_val = ray.get(da.assemble(l))
l_val = ray.get(da.assemble.remote(l))
u_val = ray.get(u)
s_val = ray.get(s)
s_mat = np.zeros((d1, d2))
@@ -171,10 +171,10 @@ class DistributedArrayTest(unittest.TestCase):
# test dist_tsqr_hr
def test_dist_tsqr_hr(d1, d2):
print "testing dist_tsqr_hr with d1 = " + str(d1) + ", d2 = " + str(d2)
a = da.random.normal([d1, d2])
y, t, y_top, r = da.linalg.tsqr_hr(a)
a_val = ray.get(da.assemble(a))
y_val = ray.get(da.assemble(y))
a = da.random.normal.remote([d1, d2])
y, t, y_top, r = da.linalg.tsqr_hr.remote(a)
a_val = ray.get(da.assemble.remote(a))
y_val = ray.get(da.assemble.remote(y))
t_val = ray.get(t)
y_top_val = ray.get(y_top)
r_val = ray.get(r)
@@ -189,12 +189,12 @@ class DistributedArrayTest(unittest.TestCase):
def test_dist_qr(d1, d2):
print "testing qr with d1 = {}, and d2 = {}.".format(d1, d2)
a = da.random.normal([d1, d2])
a = da.random.normal.remote([d1, d2])
K = min(d1, d2)
q, r = da.linalg.qr(a)
a_val = ray.get(da.assemble(a))
q_val = ray.get(da.assemble(q))
r_val = ray.get(da.assemble(r))
q, r = da.linalg.qr.remote(a)
a_val = ray.get(da.assemble.remote(a))
q_val = ray.get(da.assemble.remote(q))
r_val = ray.get(da.assemble.remote(r))
self.assertTrue(q_val.shape == (d1, K))
self.assertTrue(r_val.shape == (K, d2))
self.assertTrue(np.allclose(np.dot(q_val.T, q_val), np.eye(K)))