tfd.Empirical raises an AttributeError with quantile()

[yusukemh]

Hi,
I noticed the quantile() function of tfd.Empirical raises the following error:
AttributeError: 'function' object has no attribute 'percentile'.

import tensorflow_probability as tfp
tfd = tfp.distributions
tfd.Empirical(samples=[1,2,3]).quantile(value=[0.1, 0.5])
>>>...
File [~/.conda/envs/mpp/lib/python3.10/site-packages/tensorflow_probability/python/distributions/empirical.py:231], in Empirical._quantile(self, value, samples, **kwargs)
    228 if samples is None:
    229   samples = tf.convert_to_tensor(self._samples)
--> 231 return quantiles.percentile(
    232     x=samples, q=value * 100, axis=self._samples_axis, **kwargs)

AttributeError: 'function' object has no attribute 'percentile'

Upon looking into the problem, I figured out the following cause:
In tensorflow_probability/python/distributions/empirical.py at def _quantile(),
from tensorflow_probability.python.stats import quantiles results in the variable name quantiles referring to tensorflow_probability.python.stats.quantiles.quantiles, which is a function, resulting in the attribute error.

I manually changed the import statement to from tensorflow_probability.python.stats.quantiles import percentile
and the return at the line 231 to return percentile(...) and the error dissapeared.

Posting this here to confirm this problem is not unique to me.