class_docstr: [`FlaxLogitsWarper`] for temperature (exponential scaling output probability distribution).
  
  Args:
      temperature (`float`):
          The value used to module the logits distribution.
code: def __call__(
      self, input_ids: jnp.ndarray, scores: jnp.ndarray, cur_len: int
  ) -> jnp.ndarray:
      scores = scores / self.temperature
      return scores
  
imports: import inspect
  import jax
  import jax.lax
  import jax.numpy
  from .utils import add_start_docstrings
  from .utils.logging import get_logger
label_desc: Use image node_id 2 for calling the FlaxTemperatureLogitsWarper obj's underlying member method code with example usage: obj.__call__(input_ids, scores, cur_len) and returns: scores