class_docstr: Converts a numpy array to torch.Tensor
code: def __call__(self, *inputs):
      outputs = []
      idx = None
      for idx, _input in enumerate(inputs):
          _input = th.from_numpy(_input)
          outputs.append(_input)
      return outputs if idx >= 1 else outputs[0]
  
imports: import os
  import random
  import math
  import numpy
  import torch
label_desc: Use image node_id 1 for calling the ToTensor obj's underlying member method code with example usage: obj.__call__() and returns: unknown