code: def tensors2batch(tensors, preprocess_transform=None):
      if preprocess_transform:
          tensors = tuple(preprocess_transform(i) for i in tensors)
      if not utils.is_array_like(tensors):
          tensors = tuple(tensors)
      return torch.stack(tensors, dim=0)
  
file_path: tensorwatch/tensorwatch/pytorch_utils.py
imports: from torchvision import models, transforms
  import torch
  import torch.nn.functional
  from .None import utils, image_utils
  import os
label_desc: Use image node_id 2 for calling a global function with example usage: tensors2batch(tensors, preprocess_transform) and returns: torch