code: def test_vector_perform(self):
      x = vector()
      f = function([x], log_softmax(x, axis=None))
  
      rng = np.random.default_rng(utt.fetch_seed())
      xv = rng.standard_normal((6,)).astype(config.floatX)
      assert np.allclose(f(xv), scipy_log_softmax(xv))
  
imports: import numpy
  import pytest
  from scipy.special import beta
  from scipy.special import factorial
  from scipy.special import log_softmax
  from scipy.special import poch
  from scipy.special import softmax
  from pytensor.compile.function import function
  from pytensor.configdefaults import config
  from pytensor.graph.replace import vectorize_node
  from pytensor.tensor.blockwise import Blockwise
  from pytensor.tensor.special import LogSoftmax, Softmax, SoftmaxGrad, beta, betaln, factorial, log_softmax, poch, softmax
  from pytensor.tensor.type import matrix, tensor, tensor3, tensor4, vector, vectors
  from tests import unittest_tools
  from tests.tensor.utils import random_ranged
label_desc: Use image node_id 2 for calling the TestLogSoftmax obj's underlying member method code with example usage: obj.test_vector_perform() without return types