code: def write(*args):
      
      s = ""
      for a in args:
          # Convert tensors to Numpy arrays
          a = to_data(a)
  
          if isinstance(a, np.ndarray):
              # Numpy Array
              s += ("\t" if s else "") + "Tensor  {} {}  min: {:.3f}  max: {:.3f}".format(
                  a.dtype, a.shape, a.min(), a.max())
              print(s)
              s = ""
          elif isinstance(a, list):
              s += ("\t" if s else "") + "list    len: {}  {}".format(len(a), a[:10])
          else:
              s += (" " if s else "") + str(a)
      if s:
          print(s)
docs: Like print(), but recognizes tensors and arrays and show
      more details about them.
  
      Example:
          hl.write("My Tensor", my_tensor)
      
          Prints:
              My Tensor  float32 (10, 3, 224, 224)  min: 0.0  max: 1.0