docstr: Initial LU factorization parameters do not change per execution.
docstr_tok: ["Initial","LU","factorization","parameters","do","not","change","per","execution","."]
code: def test_trainable_lu_factorization_init(self):
      """Initial LU factorization parameters do not change per execution."""
      channels = 8
      lower_upper, permutation = trainable_lu_factorization(
          channels, seed=42
      )
      conv1x1 = scale_matvec_lu.ScaleMatvecLU(
          lower_upper, permutation, validate_args=True
      )
  
      self.evaluate([v.initializer for v in conv1x1.variables])
  
      lower_upper_1, permutation_1 = self.evaluate(
          [lower_upper, permutation]
      )
      lower_upper_2, permutation_2 = self.evaluate(
          [lower_upper, permutation]
      )
  
      self.assertAllEqual(lower_upper_1, lower_upper_2)
      self.assertAllEqual(permutation_1, permutation_2)
  
file_path: probability/tensorflow_probability/python/bijectors/scale_matvec_lu_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import scale_matvec_lu
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the ScaleMatvecLUTest obj's underlying member method code with example usage: obj.test_trainable_lu_factorization_init() without return types