def test_11(self):
N = 63
M = 4
Nd = 8
D = cp.random.randn(Nd, Nd, M)
X0 = cp.zeros((N, N, M))
xr = cp.random.randn(N, N, M)
xp = cp.abs(xr) > 3
X0[xp] = cp.random.randn(X0[xp].size)
S = cp.sum(ifftn(
fftn(D, (N, N), (0, 1)) * fftn(X0, None, (0, 1)), None,
(0, 1)).real,
axis=2)
lmbda = 1e-4
rho = 1e-1
opt = cbpdn.ConvBPDN.Options({
'Verbose': False,
'MaxMainIter': 500,
'RelStopTol': 1e-3,
'rho': rho,
'AutoRho': {
'Enabled': False
}
})
b = cbpdn.ConvBPDN(D, S, lmbda, opt)
b.solve()
X1 = b.Y.squeeze()
assert rrs(X0, X1) < 5e-5
Sr = b.reconstruct().squeeze()
assert rrs(S, Sr) < 1e-4
def test_22(self):
N = 32
M = 4
Nd = 8
D = cp.random.randn(Nd, Nd, M)
D /= cp.sqrt(cp.sum(D**2, axis=(0, 1)))
X0 = cp.zeros((N, N, M))
xr = cp.random.randn(N, N, M)
xp = cp.abs(xr) > 3
X0[xp] = cp.random.randn(X0[xp].size)
S = cp.sum(fftconv(D, X0), axis=2)
lmbda = 1e-3
opt = cbpdn.ConvBPDN.Options(
{'Verbose': False, 'MaxMainIter': 500, 'RelStopTol': 1e-5,
'rho': 5e-1, 'AutoRho': {'Enabled': False}})
bp = cbpdn.ConvBPDN(D, S, lmbda, opt)
Xp = bp.solve()
epsilon = cp.linalg.norm(bp.reconstruct(Xp).squeeze() - S)
opt = cbpdn.ConvMinL1InL2Ball.Options(
{'Verbose': False, 'MaxMainIter': 500, 'RelStopTol': 1e-5,
'rho': 2e2, 'RelaxParam': 1.0, 'AutoRho': {'Enabled': False}})
bc = cbpdn.ConvMinL1InL2Ball(D, S, epsilon=epsilon, opt=opt)
Xc = bc.solve()
assert cp.linalg.norm(Xp - Xc) / cp.linalg.norm(Xp) < 1e-3
assert cp.abs(cp.linalg.norm(Xp.ravel(), 1) -
cp.linalg.norm(Xc.ravel(), 1)) < 1e-3
def test_05(self):
N = 16
Nd = 5
K = 2
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N, K)
lmbda = 1e-1
b = cbpdn.ConvBPDN(D, s, lmbda)
assert b.cri.dimC == 0
assert b.cri.dimK == 1
def test_03(self):
N = 16
Nd = 5
Cd = 3
M = 4
D = cp.random.randn(Nd, Nd, Cd, M)
s = cp.random.randn(N, N, Cd)
lmbda = 1e-1
b = cbpdn.ConvBPDN(D, s, lmbda)
assert b.cri.dimC == 1
assert b.cri.dimK == 0
def test_01(self):
N = 16
Nd = 5
Cs = 3
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N, Cs)
lmbda = 1e-1
b = cbpdn.ConvBPDN(D, s, lmbda, dimK=0)
assert b.cri.dimC == 1
assert b.cri.dimK == 0
def test_02(self):
N = 16
Nd = 5
Cs = 3
K = 5
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N, Cs, K)
lmbda = 1e-1
b = cbpdn.ConvBPDN(D, s, lmbda)
assert b.cri.dimC == 1
assert b.cri.dimK == 1
def test_09(self):
N = 16
Nd = 5
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N)
try:
b = cbpdn.ConvBPDN(D, s)
b.solve()
except Exception as e:
print(e)
assert 0
def test_32(self):
N = 16
Nd = 5
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N)
lmbda = 1e-1
opt = cbpdn.ConvBPDN.Options({'Verbose': False, 'MaxMainIter': 10})
b = cbpdn.ConvBPDN(D, s, lmbda, opt)
bp = pickle.dumps(b)
c = pickle.loads(bp)
Xb = b.solve()
Xc = c.solve()
assert cp.linalg.norm(Xb - Xc) == 0.0
def test_13(self):
N = 16
Nd = 5
Cd = 3
M = 4
D = cp.random.randn(Nd, Nd, Cd, M)
s = cp.random.randn(N, N, Cd)
lmbda = 1e-1
try:
opt = cbpdn.ConvBPDN.Options({'LinSolveCheck': True})
b = cbpdn.ConvBPDN(D, s, lmbda, opt=opt, dimK=0)
b.solve()
except Exception as e:
print(e)
assert 0
assert list2array(b.getitstat().XSlvRelRes).max() < 1e-5
def test_08(self):
Nr = 16
Nc = 17
Nd = 5
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(Nr, Nc)
lmbda = 1e-1
try:
opt = cbpdn.ConvBPDN.Options({'LinSolveCheck': True})
b = cbpdn.ConvBPDN(D, s, lmbda, opt=opt)
b.solve()
except Exception as e:
print(e)
assert 0
assert list2array(b.getitstat().XSlvRelRes).max() < 1e-5
def test_06(self):
N = 16
Nd = 5
K = 2
M = 4
D = cp.random.randn(Nd, Nd, M)
s = cp.random.randn(N, N, K)
dt = cp.float32
opt = cbpdn.ConvBPDN.Options({'Verbose': False, 'MaxMainIter': 20,
'AutoRho': {'Enabled': True},
'DataType': dt})
lmbda = 1e-1
b = cbpdn.ConvBPDN(D, s, lmbda, opt=opt)
b.solve()
assert b.X.dtype == dt
assert b.Y.dtype == dt
assert b.U.dtype == dt