Dimension error while scaling probabilistic parameter estimation with pymc3

Question

I created a simple model to model a sinewave:

x = np.linspace(0,4, 100)
A = 3
f = 2
noise = np.random.normal(scale = 0.1, size=100)
model = A * np.sin(f * x)