How to change dtype of weights from float32 to float16 in pycaffe?

[Sivagnanam Namasivayamurthy]

I have a pre-trained faster-rcnn caffe model. I'm able to get the weights of the model using net.params[pr][0].data. As of now the weights are of numpy float32 type. I would like to reduce it to float 16 just to reduce the size of the model.