memory usage

Is this model particularly memory intensive? The model hangs on building the loss model for seq_length 10 having used 16GB of RAM.

This might be caused by the fact that I am using tensorflow 1.0.0-rc1 (because of #26, legacy_seq2seq is present in 1.0.0-rc1 and not 0.12.1). I've modified your code to run on this version, and it trains correctly with lower length sequences, but still eats memory.

Is this normal, or some sort of memory leak caused by the newer version of tensorflow?

Start by reproducing the reported memory growth while building the loss model with seq_length 10, comparing TensorFlow 1.0.0-rc1 against 0.12.1 if available. Inspect the loss-model construction and the reporter's modified code; done means determining whether the usage is expected or a leak and recording or addressing the cause.

Written by the indexing model from the issue text.