class_docstr: Tests correctness of the Y = g(X) = X / norm(X) transformation.
class_docstr_tok: ["Tests","correctness","of","the","Y","=","g","(","X",")","=","X","\/","norm","(","X",")","transformation","."]
code: def testShapeGettersWithDynamicShape(self):
      x = tf1.placeholder_with_default([2, 4], shape=None)
      y = tf1.placeholder_with_default([2, 5], shape=None)
      uv = unit_vector.UnitVector(validate_args=True)
      self.assertAllEqual(
          [2, 5], self.evaluate(uv.forward_event_shape_tensor(x))
      )
      self.assertAllEqual(
          [2, 4], self.evaluate(uv.inverse_event_shape_tensor(y))
      )
  
file_path: probability/tensorflow_probability/python/bijectors/unit_vector_test.py
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import unit_vector
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the UnitVectorBijectorTest obj's underlying member method code with example usage: obj.testShapeGettersWithDynamicShape() without return types