code: def _possibly_nonzero(value):
      """Returns Python boolean indicating whether `value` can be non-zero.
  
      Args:
        value: `Tensor` or numpy array that is tested on being certainly zero.
          Tensors are considered non-zero.
  
      Returns:
        possibly_nonzero: `False` if `value` is deterministically zero, `True`
          otherwise.
      """
      static_value = tf.get_static_value(value)
      if static_value is None:
          return True
      else:
          return np.all(static_value != 0)
  
file_path: probability/tensorflow_probability/python/math/ode/runge_kutta_util.py
imports: import collections
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
label_desc: Use image node_id 1 for calling a global function with example usage: _possibly_nonzero(value) and returns: True, np