code: def testImplicitBlocks(self):
      e = exp.Exp()
      sp = softplus.Softplus()
      aff = scale_matvec_diag.ScaleMatvecDiag(scale_diag=[2.0])
      bijector = blockwise.Blockwise(bijectors=[e, sp, aff])
      self.assertAllEqual(
          self.evaluate(bijector.block_sizes), [1, 1, 1]
      )
  
imports: from absl.testing import parameterized
  import mock
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_diag
  from tensorflow_probability.python.bijectors import softmax_centered
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the BlockwiseBijectorTest obj's underlying member method code with example usage: obj.testImplicitBlocks() without return types