docstr: Helper to create inputs with varied dtypes and static shapes.
code: def _input(self, value):
      """Helper to create inputs with varied dtypes and static shapes."""
      value = tf.cast(value, self.dtype)
      return tf1.placeholder_with_default(
          value, shape=value.shape if self.use_static_shape else None
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import multivariate_student_t
  from tensorflow_probability.python.distributions import student_t
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 1 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj._input(value) and returns: tf1