code: def __init__(self, mean, std):
      self.mean = paddle.to_tensor(
          np.array(mean)[
              np.newaxis, :, np.newaxis, np.newaxis, np.newaxis
          ]
      ).astype("float32")
      self.std = paddle.to_tensor(
          np.array(std)[
              np.newaxis, :, np.newaxis, np.newaxis, np.newaxis
          ]
      ).astype("float32")
  
imports: import paddle
  import paddle.nn
  import numpy
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new BatchImageNormalize3D object  with example: obj = BatchImageNormalize3D(mean, std)