code: def _lbeta(x, name=None):  # pylint: disable=unused-argument
      x = _convert_to_tensor(x)
      log_prod_gamma_x = np.sum(scipy_special.gammaln(x), axis=-1)
      sum_x = np.sum(x, axis=-1)
      log_gamma_sum_x = scipy_special.gammaln(sum_x)
      return log_prod_gamma_x - log_gamma_sum_x
  
imports: import collections
  import functools
  import numpy
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy.numpy_array import _reverse
  from tensorflow_probability.python.internal.backend.numpy.numpy_array import one_hot
  from tensorflow_probability.python.internal.backend.numpy.ops import _convert_to_tensor
label_desc: Use image node_id 10 for calling a global function with example usage: _lbeta(x, name) and returns: unknown