class_docstr: Test DETRModel.
class_docstr_tok: ["Test","DETRModel","."]
docstr: Test loss_boxes by checking its output's dictionary format.
docstr_tok: ["Test","loss_boxes","by","checking","its","output","'s","dictionary","format","."]
code: def test_boxes_losses_and_metrics(self):
      """Test loss_boxes by checking its output's dictionary format."""
  
      def f_to_pmap(outputs, batch):
          return self.model.boxes_losses_and_metrics(
              outputs, batch, indices=self.indices
          )
  
      # test loss function in the pmapped setup
      boxes_lm_pmapped = jax.pmap(f_to_pmap, axis_name="batch")
  
      outputs_replicate, batch_replicate = (
          jax_utils.replicate(self.outputs),
          jax_utils.replicate(self.batch),
      )
  
      losses, metrics = boxes_lm_pmapped(
          outputs_replicate, batch_replicate
      )
      losses = jax_utils.unreplicate(losses)
      metrics = jax_utils.unreplicate(metrics)
  
      self.assertSameElements(losses.keys(), ["loss_bbox", "loss_giou"])
      self.is_valid_loss(losses["loss_bbox"])
      self.is_valid_loss(losses["loss_giou"])
  
      self.assertSameElements(
          metrics.keys(), ["loss_bbox", "loss_giou"]
      )
      for i in range(2):  # metric and its normalizer
          self.is_valid(metrics["loss_bbox"][i])
          self.is_valid(metrics["loss_giou"][i])
  
imports: import functools
  from absl.testing import absltest
  from absl.testing import parameterized
  from flax import jax_utils
  from flax import traverse_util
  from flax.core import unfreeze
  import jax
  from jax import random
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.projects.baselines.detr import model
label_desc: Use image node_id 5 for calling the DETRModelTest obj's underlying member method code with example usage: obj.test_boxes_losses_and_metrics() and returns: self