Tensorflow: how to manually shard a dataset

Question

I'm using the MirroredStrategy to perform multi-gpu training and it doesn't appear to be properly sharding the data. How do you go about manually sharding data?

I know that I could use the shard method for a tf.data dataset, but for that I need access to the worker ID and I can't figure out how to get that. How do I access the worker ids?

Answer 1

MirroredStrategy runs on a single worker (for multiple workers there is MultiWorkerMirroredStrategy ). Because it runs on only one worker, MirroredStrategy runs a single Dataset pipeline without any data sharding. At each step, MirroredStrategy requests one dataset element per worker.