code: def test_function_without_updates(self):
      x = tf.placeholder(name="x", dtype=tf.float32)
      w = tf.Variable(asfloat(np.random.random((4, 3))), name="w")
      b = tf.Variable(asfloat(np.random.random((3,))), name="b")
      y = tf.matmul(x, w) + b
  
      prediction = tf_utils.function([x], y)
      tf_utils.initialize_uninitialized_variables()
  
      actual = prediction(np.random.random((7, 4)))
      self.assertEqual(actual.shape, (7, 3))
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow.errors import FailedPreconditionError
  from neupy import init
  from neupy.utils import tf_utils, asfloat
  from base import BaseTestCase
label_desc: Use image node_id 8 for calling the TFUtilsTestCase obj's underlying member method code with example usage: obj.test_function_without_updates() without return types