Changing a placeholder between gradient steps

I have an algorithm I want to use edward for. However, I need to change the value of a placeholder after every gradient step. I know I can do the gradient steps one at a time with inference.update() however I don’t know how to change the value of the placeholder after I take the gradient step without running ed.VariationalInference({z: qz}, data={x: x_train, beta: qbeta}) which would ruin my parameter values. Thanks,

Cameron

Never mind I found it here after one second of googling: http://edwardlib.org/api/inference-data-subsampling