blob: d07d677e4cdf83daa26bb1e9d6b789af603b6f32 [file] [log] [blame]
# -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
from systemds.matrix import Matrix
dim = 5
np.random.seed(7)
m1 = np.array(np.random.randint(100, size=dim * dim) + 1.01, dtype=np.double)
m1.shape = (dim, dim)
m2 = np.array(np.random.randint(5, size=dim * dim) + 1, dtype=np.double)
m2.shape = (dim, dim)
s = 3.02
class TestBinaryOp(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext()
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_plus(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) + Matrix(self.sds, m2)).compute(), m1 + m2))
def test_minus(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) - Matrix(self.sds, m2)).compute(), m1 - m2))
def test_mul(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) * Matrix(self.sds, m2)).compute(), m1 * m2))
def test_div(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) / Matrix(self.sds, m2)).compute(), m1 / m2))
def test_plus3_rhs(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) + s).compute(), m1 + s))
def test_plus3_lhs(self):
self.assertTrue(np.allclose(
(s + Matrix(self.sds, m1) ).compute(), s + m1))
def test_minus3_rhs(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) - s).compute(), m1 - s))
def test_minus3_lhs(self):
self.assertTrue(np.allclose(
(s - Matrix(self.sds, m1)).compute(), s - m1 ))
def test_mul3_rhs(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) * s).compute(), m1 * s))
def test_mul3_lhs(self):
self.assertTrue(np.allclose(
(s * Matrix(self.sds, m1)).compute(), s * m1))
def test_div3_rhs(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) / s).compute(), m1 / s))
def test_div3_lhs(self):
self.assertTrue(np.allclose(
(s / Matrix(self.sds, m1) ).compute(), s / m1))
def test_matmul(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) @ Matrix(self.sds, m2)).compute(), m1.dot(m2)))
def test_matmul_chain(self):
m3 = np.ones((m2.shape[1], 10), dtype=np.uint8)
m = Matrix(self.sds, m1) @ Matrix(self.sds, m2) @ Matrix(
self.sds, m3)
res = (m).compute()
np_res = m1.dot(m2).dot(m3)
self.assertTrue(np.allclose(res, np_res))
self.assertTrue(np.allclose(m.shape, np_res.shape))
def test_matmul_self(self):
m = Matrix(self.sds, m1).t() @ Matrix(self.sds, m1)
res = (m).compute()
np_res = np.transpose(m1).dot(m1)
self.assertTrue(np.allclose(res, np_res))
self.assertTrue(np.allclose(m.shape, np_res.shape))
def test_lt(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) < Matrix(self.sds, m2)).compute(), m1 < m2))
def test_gt(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) > Matrix(self.sds, m2)).compute(), m1 > m2))
def test_le(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) <= Matrix(self.sds, m2)).compute(), m1 <= m2))
def test_ge(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) >= Matrix(self.sds, m2)).compute(), m1 >= m2))
def test_abs(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).abs().compute(), np.abs(m1)))
def test_lt3_rhs(self):
self.assertTrue(np.allclose(
(Matrix(self.sds, m1) <3).compute(), m1 < 3))
def test_lt3_lhs(self):
self.assertTrue(np.allclose(
(3 < Matrix(self.sds, m1)).compute(), 3 < m1 ))
def test_gt3_rhs(self):
self.assertTrue(np.allclose(
(3 > Matrix(self.sds, m1)).compute(), 3 > m1 ))
def test_le3_rhs(self):
self.assertTrue(np.allclose(
(3<= Matrix(self.sds, m1) ).compute(), 3 <= m1 ))
def test_ge3_rhs(self):
self.assertTrue(np.allclose(
(3 >= Matrix(self.sds, m1)).compute(), 3>= m1))
if __name__ == "__main__":
unittest.main(exit=False)