class_docstr: COINPredictor is similar to CrossTask on sliding windows.
class_docstr_tok: ["COINPredictor","is","similar","to","CrossTask","on","sliding","windows","."]
code: def __call__(self, sample, model, Y_pred, Y_true):
      sample = self.to_ctx(sample)
      # compute the average logits over sliding windows.
      output = model(**sample)
      logits = self._merge_windows(sample, output)
      Y_pred.append(logits.argmax(dim=1))
      Y_true.append(sample["video_targets"].squeeze(0).cpu())
  
imports: import os
  import random
  import json
  import numpy
  import torch
  import pickle
  import math
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the COINPredictor obj's underlying member method code with example usage: obj.__call__(sample, model, Y_pred, Y_true) without return types