How to run Tensorflow Estimator on multiple GPUs with data parallelism

Question

I have a standard tensorflow Estimator with some model and want to run it on multiple GPUs instead of just one. How can this be done using data parallelism?

I searched

Answer 1

You can find an example using tf.distribute.MirroredStrategy and tf.estimator.train_and_evaluate here.