def test_Hstack(self):
shape = [5]
I = linop.Identity(shape)
x1 = util.randn(shape)
x2 = util.randn(shape)
x = util.vec([x1, x2])
A = linop.Hstack([I, I])
npt.assert_allclose(A(x), x1 + x2)
self.check_linop_linear(A)
self.check_linop_adjoint(A)
self.check_linop_normal(A)
self.check_linop_pickleable(A)
shape = [5, 3]
I = linop.Identity(shape)
x1 = util.randn(shape)
x2 = util.randn(shape)
x = np.concatenate([x1, x2], axis=1)
A = linop.Hstack([I, I], axis=1)
npt.assert_allclose(A(x), x1 + x2)
self.check_linop_linear(A)
self.check_linop_adjoint(A)
self.check_linop_normal(A)
self.check_linop_pickleable(A)
def _prox(self, alpha, input):
if np.isscalar(alpha):
alphas = [alpha] * self.nops
else:
alphas = util.split(alpha, self.shapes)
inputs = util.split(input, self.shapes)
outputs = [prox(alpha, input)
for prox, input, alpha in zip(self.proxs, inputs, alphas)]
output = util.vec(outputs)
return output
def test_Vstack(self):
shape = [5]
I = linop.Identity(shape)
x = util.randn(shape)
A = linop.Vstack([I, I])
npt.assert_allclose(A(x), util.vec([x, x]))
self.check_linop_linear(A)
self.check_linop_adjoint(A)
self.check_linop_pickleable(A)
shape = [5, 3]
I = linop.Identity(shape)
x = util.randn(shape)
A = linop.Vstack([I, I], axis=1)
npt.assert_allclose(A(x), np.concatenate([x, x], axis=1))
self.check_linop_linear(A)
self.check_linop_adjoint(A)
self.check_linop_pickleable(A)
