code: def _one_sequence_test(
      self,
      seq_dataset,
      model,
      batch_indices,
      check_metrics=False,
  ):
      loader = torch.utils.data.DataLoader(
          seq_dataset,
          shuffle=False,
          batch_sampler=batch_indices,
          collate_fn=FrameData.collate,
      )
  
      for frame_data in loader:
          self.assertIsNone(frame_data.frame_type)
          self.assertIsNotNone(frame_data.image_rgb)
          # override the frame_type
          frame_data.frame_type = [
              "train_unseen",
              *(["train_known"] * (len(frame_data.image_rgb) - 1)),
          ]
  
          frame_data = dataclass_to_cuda_(frame_data)
          preds = model(**dataclasses.asdict(frame_data))
  
          eval_result = eval_batch(
              frame_data,
              preds["implicitron_render"],
              bg_color=self.bg_color,
              lpips_model=self.lpips_model,
          )
  
          if check_metrics:
              self._check_metrics(
                  frame_data, preds["implicitron_render"], eval_result
              )
  
imports: import contextlib
  import dataclasses
  import itertools
  import math
  import os
  import unittest
  import lpips
  import numpy
  import torch
  from pytorch3d.implicitron.dataset.frame_data import FrameData
  from pytorch3d.implicitron.dataset.json_index_dataset import JsonIndexDataset
  from pytorch3d.implicitron.evaluation.evaluate_new_view_synthesis import eval_batch
  from pytorch3d.implicitron.models.base_model import ImplicitronModelBase
  from pytorch3d.implicitron.models.generic_model import GenericModel
  from pytorch3d.implicitron.models.model_dbir import ModelDBIR
  from pytorch3d.implicitron.tools.config import expand_args_fields, registry
  from pytorch3d.implicitron.tools.metric_utils import calc_psnr, eval_depth
  from pytorch3d.implicitron.tools.utils import dataclass_to_cuda_
  from .common_resources import get_skateboard_data, provide_lpips_vgg
label_desc: Use image node_id 4 for calling the TestEvaluation obj's underlying member method code with example usage: obj._one_sequence_test(seq_dataset, model, batch_indices, check_metrics) without return types