def testQRExecution(self):
data = np.random.randn(18, 6)
a = tensor(data, chunk_size=(3, 6))
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=(9, 6))
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=3)
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
def testQRExecution(self):
data = np.random.randn(18, 6)
a = tensor(data, chunk_size=(3, 6))
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=(9, 6))
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=3)
q, r = qr(a)
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
# test for Short-and-Fat QR
data = np.random.randn(6, 18)
a = tensor(data, chunk_size=(6, 9))
q, r = qr(a, method='sfqr')
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=(3, 3))
q, r = qr(a, method='sfqr')
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))
a = tensor(data, chunk_size=(6, 3))
q, r = qr(a, method='sfqr')
t = q.dot(r)
res = self.executor.execute_tensor(t, concat=True)[0]
self.assertTrue(np.allclose(res, data))