如何在caffe中读取带有python层的hdf5并做数据增强？

import caffe
import h5py
import numpy as np

class HDF5DataLayer(caffe.Layer):
    def setup(self, bottom, top):
        # 读取hdf5文件
        self.file = h5py.File('/path/to/your/hdf5/file.h5', 'r')
        self.data = self.file['data']
        self.label = self.file['label']
        self.index = 0

    def reshape(self, bottom, top):
        # 设置输入和输出的维度
        top[0].reshape(*self.data.shape)
        top[1].reshape(*self.label.shape)

    def forward(self, bottom, top):
        # 从hdf5文件中读取数据
        top[0].data[...] = self.data[self.index]
        top[1].data[...] = self.label[self.index]
        self.index += 1

        # 数据增强操作
        # ...

    def backward(self, top, propagate_down, bottom):
        pass

layer {
  name: "data"
  type: "Python"
  top: "data"
  top: "label"
  python_param {
    module: "your_python_script"
    layer: "HDF5DataLayer"
  }
}