ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

[Noxius888]

Running the code brings a Value error:

0.8 -mbsize 10 -dataset nips
{'infSeed': 1, 'alpha': 1.0, 'gamma': 2.0, 'Nmax': 40, 'kappa_sgd': 0.6, 'tau': 0.8, 'mbsize': 10.0, 'dataset': 'nips'}
Loading the glove dict file....
Main runner ...
num_docs: 1566
Traceback (most recent call last):
File "./runner.py", line 225, in
HDPRunner(args)
File "./runner.py", line 121, in HDPRunner
components=[vonMisesFisherLogNormal(**obs_hypparams) for itr in range(K)]
File "./runner.py", line 121, in
components=[vonMisesFisherLogNormal(**obs_hypparams) for itr in range(K)]
File "/home/noxius/Git/sHDP/core/core_distributions.py", line 242, in init
if (mu,kappa) == (None,None) and None not in (mu_0,C_0,m_0,sigma_0):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

I tried different methods, including changing the boolean check in core_distributions.py, line 243:

if ((mu,kappa) == (None,None)) and any(x != None for x in (mu_0, C_0, m_0, sigma_0)):
or
if ((mu,kappa) == (None,None)) and not any(x == None for x in (mu_0, C_0, m_0, sigma_0)):

However it doesn't change anything and the error stays. Have you any solution?

[IvanAntipov]

I had the same problem and I solved it with downgrading numpy to version 1.11.3

My environment:

Ubuntu 18.04 LTS
python 3.6

[ajbouh]

I replaced

        if (mu,kappa) == (None,None) and None not in (mu_0,C_0,m_0,sigma_0):

with

        if (mu,kappa) == (None,None) and mu_0 is not None and C_0 is not None and m_0 is not None and sigma_0 is not None:

And it seems to have made forward progress.

I also needed to replace

            logISweights = log_f - sc.misc.logsumexp(log_f)

with

            logISweights = log_f - sc.special.logsumexp(log_f)