mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
235 lines
8.8 KiB
Python
235 lines
8.8 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import unittest
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import ray
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import numpy as np
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from numpy.testing import assert_equal, assert_almost_equal
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import sys
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import ray.experimental.array.remote as ra
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import ray.experimental.array.distributed as da
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if sys.version_info >= (3, 0):
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from importlib import reload
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class RemoteArrayTest(unittest.TestCase):
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def tearDown(self):
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ray.worker.cleanup()
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def testMethods(self):
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for module in [ra.core, ra.random, ra.linalg, da.core, da.random,
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da.linalg]:
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reload(module)
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ray.init()
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# test eye
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object_id = ra.eye.remote(3)
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val = ray.get(object_id)
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assert_almost_equal(val, np.eye(3))
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# test zeros
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object_id = ra.zeros.remote([3, 4, 5])
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val = ray.get(object_id)
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assert_equal(val, np.zeros([3, 4, 5]))
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# test qr - pass by value
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a_val = np.random.normal(size=[10, 11])
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q_id, r_id = ra.linalg.qr.remote(a_val)
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q_val = ray.get(q_id)
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r_val = ray.get(r_id)
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assert_almost_equal(np.dot(q_val, r_val), a_val)
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# test qr - pass by objectid
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a = ra.random.normal.remote([10, 13])
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q_id, r_id = ra.linalg.qr.remote(a)
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a_val = ray.get(a)
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q_val = ray.get(q_id)
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r_val = ray.get(r_id)
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assert_almost_equal(np.dot(q_val, r_val), a_val)
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class DistributedArrayTest(unittest.TestCase):
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def tearDown(self):
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ray.worker.cleanup()
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def testAssemble(self):
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for module in [ra.core, ra.random, ra.linalg, da.core, da.random,
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da.linalg]:
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reload(module)
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ray.init()
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a = ra.ones.remote([da.BLOCK_SIZE, da.BLOCK_SIZE])
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b = ra.zeros.remote([da.BLOCK_SIZE, da.BLOCK_SIZE])
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x = da.DistArray([2 * da.BLOCK_SIZE, da.BLOCK_SIZE],
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np.array([[a], [b]]))
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assert_equal(x.assemble(),
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np.vstack([np.ones([da.BLOCK_SIZE, da.BLOCK_SIZE]),
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np.zeros([da.BLOCK_SIZE, da.BLOCK_SIZE])]))
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def testMethods(self):
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for module in [ra.core, ra.random, ra.linalg, da.core, da.random,
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da.linalg]:
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reload(module)
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ray.worker._init(start_ray_local=True, num_local_schedulers=2,
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num_cpus=[10, 10])
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x = da.zeros.remote([9, 25, 51], "float")
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assert_equal(ray.get(da.assemble.remote(x)), np.zeros([9, 25, 51]))
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x = da.ones.remote([11, 25, 49], dtype_name="float")
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assert_equal(ray.get(da.assemble.remote(x)), np.ones([11, 25, 49]))
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x = da.random.normal.remote([11, 25, 49])
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y = da.copy.remote(x)
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assert_equal(ray.get(da.assemble.remote(x)),
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ray.get(da.assemble.remote(y)))
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x = da.eye.remote(25, dtype_name="float")
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assert_equal(ray.get(da.assemble.remote(x)), np.eye(25))
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x = da.random.normal.remote([25, 49])
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y = da.triu.remote(x)
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assert_equal(ray.get(da.assemble.remote(y)),
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np.triu(ray.get(da.assemble.remote(x))))
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x = da.random.normal.remote([25, 49])
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y = da.tril.remote(x)
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assert_equal(ray.get(da.assemble.remote(y)),
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np.tril(ray.get(da.assemble.remote(x))))
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x = da.random.normal.remote([25, 49])
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y = da.random.normal.remote([49, 18])
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z = da.dot.remote(x, y)
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w = da.assemble.remote(z)
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u = da.assemble.remote(x)
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v = da.assemble.remote(y)
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assert_almost_equal(ray.get(w), np.dot(ray.get(u), ray.get(v)))
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assert_almost_equal(ray.get(w), np.dot(ray.get(u), ray.get(v)))
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# test add
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x = da.random.normal.remote([23, 42])
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y = da.random.normal.remote([23, 42])
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z = da.add.remote(x, y)
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assert_almost_equal(ray.get(da.assemble.remote(z)),
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ray.get(da.assemble.remote(x)) +
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ray.get(da.assemble.remote(y)))
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# test subtract
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x = da.random.normal.remote([33, 40])
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y = da.random.normal.remote([33, 40])
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z = da.subtract.remote(x, y)
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assert_almost_equal(ray.get(da.assemble.remote(z)),
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ray.get(da.assemble.remote(x)) -
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ray.get(da.assemble.remote(y)))
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# test transpose
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x = da.random.normal.remote([234, 432])
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y = da.transpose.remote(x)
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assert_equal(ray.get(da.assemble.remote(x)).T,
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ray.get(da.assemble.remote(y)))
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# test numpy_to_dist
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x = da.random.normal.remote([23, 45])
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y = da.assemble.remote(x)
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z = da.numpy_to_dist.remote(y)
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w = da.assemble.remote(z)
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assert_equal(ray.get(da.assemble.remote(x)),
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ray.get(da.assemble.remote(z)))
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assert_equal(ray.get(y), ray.get(w))
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# test da.tsqr
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for shape in [[123, da.BLOCK_SIZE], [7, da.BLOCK_SIZE],
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[da.BLOCK_SIZE, da.BLOCK_SIZE], [da.BLOCK_SIZE, 7],
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[10 * da.BLOCK_SIZE, da.BLOCK_SIZE]]:
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x = da.random.normal.remote(shape)
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K = min(shape)
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q, r = da.linalg.tsqr.remote(x)
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x_val = ray.get(da.assemble.remote(x))
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q_val = ray.get(da.assemble.remote(q))
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r_val = ray.get(r)
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self.assertTrue(r_val.shape == (K, shape[1]))
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assert_equal(r_val, np.triu(r_val))
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assert_almost_equal(x_val, np.dot(q_val, r_val))
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assert_almost_equal(np.dot(q_val.T, q_val), np.eye(K))
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# test da.linalg.modified_lu
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def test_modified_lu(d1, d2):
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print("testing dist_modified_lu with d1 = " + str(d1) +
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", d2 = " + str(d2))
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assert d1 >= d2
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m = ra.random.normal.remote([d1, d2])
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q, r = ra.linalg.qr.remote(m)
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l, u, s = da.linalg.modified_lu.remote(da.numpy_to_dist.remote(q))
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q_val = ray.get(q)
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ray.get(r)
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l_val = ray.get(da.assemble.remote(l))
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u_val = ray.get(u)
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s_val = ray.get(s)
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s_mat = np.zeros((d1, d2))
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for i in range(len(s_val)):
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s_mat[i, i] = s_val[i]
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# Check that q - s = l * u.
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assert_almost_equal(q_val - s_mat, np.dot(l_val, u_val))
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# Check that u is upper triangular.
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assert_equal(np.triu(u_val), u_val)
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# Check that l is lower triangular.
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assert_equal(np.tril(l_val), l_val)
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for d1, d2 in [(100, 100), (99, 98), (7, 5), (7, 7), (20, 7),
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(20, 10)]:
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test_modified_lu(d1, d2)
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# test dist_tsqr_hr
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def test_dist_tsqr_hr(d1, d2):
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print("testing dist_tsqr_hr with d1 = " + str(d1) + ", d2 = " +
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str(d2))
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a = da.random.normal.remote([d1, d2])
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y, t, y_top, r = da.linalg.tsqr_hr.remote(a)
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a_val = ray.get(da.assemble.remote(a))
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y_val = ray.get(da.assemble.remote(y))
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t_val = ray.get(t)
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y_top_val = ray.get(y_top)
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r_val = ray.get(r)
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tall_eye = np.zeros((d1, min(d1, d2)))
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np.fill_diagonal(tall_eye, 1)
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q = tall_eye - np.dot(y_val, np.dot(t_val, y_top_val.T))
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# Check that q.T * q = I.
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assert_almost_equal(np.dot(q.T, q), np.eye(min(d1, d2)))
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# Check that a = (I - y * t * y_top.T) * r.
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assert_almost_equal(np.dot(q, r_val), a_val)
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for d1, d2 in [(123, da.BLOCK_SIZE), (7, da.BLOCK_SIZE),
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(da.BLOCK_SIZE, da.BLOCK_SIZE), (da.BLOCK_SIZE, 7),
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(10 * da.BLOCK_SIZE, da.BLOCK_SIZE)]:
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test_dist_tsqr_hr(d1, d2)
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def test_dist_qr(d1, d2):
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print("testing qr with d1 = {}, and d2 = {}.".format(d1, d2))
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a = da.random.normal.remote([d1, d2])
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K = min(d1, d2)
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q, r = da.linalg.qr.remote(a)
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a_val = ray.get(da.assemble.remote(a))
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q_val = ray.get(da.assemble.remote(q))
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r_val = ray.get(da.assemble.remote(r))
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self.assertEqual(q_val.shape, (d1, K))
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self.assertEqual(r_val.shape, (K, d2))
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assert_almost_equal(np.dot(q_val.T, q_val), np.eye(K))
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assert_equal(r_val, np.triu(r_val))
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assert_almost_equal(a_val, np.dot(q_val, r_val))
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for d1, d2 in [(123, da.BLOCK_SIZE), (7, da.BLOCK_SIZE),
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(da.BLOCK_SIZE, da.BLOCK_SIZE), (da.BLOCK_SIZE, 7),
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(13, 21), (34, 35), (8, 7)]:
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test_dist_qr(d1, d2)
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test_dist_qr(d2, d1)
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for _ in range(20):
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d1 = np.random.randint(1, 35)
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d2 = np.random.randint(1, 35)
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test_dist_qr(d1, d2)
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if __name__ == "__main__":
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unittest.main(verbosity=2)
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