code: def testSampleDynamicWithBatchDims(self):
      loc = tf1.placeholder_with_default([0.0, 0], shape=[2])
  
      dist = det.Deterministic(loc, validate_args=True)
      for sample_shape_ in [(), (4,)]:
          sample_shape = tf1.placeholder_with_default(
              np.array(sample_shape_, dtype=np.int32), shape=None
          )
          sample_ = self.evaluate(
              dist.sample(sample_shape, seed=test_util.test_seed())
          )
          self.assertAllClose(
              np.zeros(sample_shape_ + (2,)).astype(np.float32), sample_
          )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 18 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testSampleDynamicWithBatchDims() without return types