code: def test_multiple_input_multiply():
      x, y, z = vectors("xyz")
      out = pt.mul(x, y, z)
  
      fg = FunctionGraph(outputs=[out], clone=False)
      compare_jax_and_py(fg, [[1.5], [2.5], [3.5]])
  
imports: import numpy
  import pytest
  import scipy.special
  import pytensor
  import pytensor.tensor
  from pytensor.compile import get_mode
  from pytensor.configdefaults import config
  from pytensor.graph.fg import FunctionGraph
  from pytensor.graph.op import get_test_value
  from pytensor.tensor import elemwise
  from pytensor.tensor.math import all
  from pytensor.tensor.math import prod
  from pytensor.tensor.math import sum
  from pytensor.tensor.special import SoftmaxGrad, log_softmax, softmax
  from pytensor.tensor.type import matrix, tensor, vector, vectors
  from tests.link.jax.test_basic import compare_jax_and_py
  from tests.tensor.test_elemwise import TestElemwise
label_desc: Use image node_id 8 for calling a global function with example usage: test_multiple_input_multiply() without return types