Error with Model: Initial evaluation of model at starting point failed!

Questions
5

Hi! I have a similar issue.

        with pm.Model(coords={"test_event_dim": range(len(used_data)), "test_support_dim": range(2)}) as model:
            w = pm.Dirichlet('w', a=np.ones(n_components))  
            p1 = pm.HalfNormal("p1",sigma=3, dims=("test_support_dim",)).exp()
            p2 = pm.HalfNormal("p2",sigma=3, dims=("test_support_dim",)).exp()
            p3 = pm.HalfNormal("p3",sigma=3, dims=("test_support_dim",)).exp()
            p4 = pm.HalfNormal("p4",sigma=3, dims=("test_support_dim",)).exp()
            y = DirichletMixture('y', w=w, p=[p1, p2, p3, p4], observed=np.array(used_data), comp_shape=(n_components, 2))
            # model.debug(verbose=True)
            # if method == 'mcmc':
            step = pm.Metropolis()
            trace = pm.sample(10000, cores=2, step=step)
            dataframe = az.summary(trace)

The code raise error:
SamplingError: Initial evaluation of model at starting point failed!
Starting values:
{‘w_simplex__’: array([0., 0., 0.]), ‘p1_log__’: array([1.09861229, 1.09861229]), ‘p2_log__’: array([1.09861229, 1.09861229]), ‘p3_log__’: array([1.09861229, 1.09861229]), ‘p4_log__’: array([1.09861229, 1.09861229])}

Logp initial evaluation results:
{‘w’: -2.37, ‘p1’: -1.45, ‘p2’: -1.45, ‘p3’: -1.45, ‘p4’: -1.45, ‘y’: -inf}
You can call model.debug() for more details.