Getting a a grpc.FutureTimeoutError while using Reformulator from the checkpoint

[JohannesTK]

Thank you for your interesting paper & open-sourcing it!

Running the code given in: https://github.com/google/active-qa/issues/9#issuecomment-432807557 but getting a grpc.FutureTimeoutError:

python2 reformulate.py 
Num encoder layer 2 is different from num decoder layer 4, so set pass_hidden_state to False
# hparams:
  src=source
  tgt=target
  train_prefix=None
  dev_prefix=None
  test_prefix=None
  train_annotations=None
  dev_annotations=None
  test_annotations=None
  out_dir=/tmp/active-qa/reformulator
# Vocab file data/spm2/spm.unigram.16k.vocab.nocount.notab.source exists
  using source vocab for target
# Use the same embedding for source and target
Traceback (most recent call last):
  File "reformulate.py", line 10, in <module>
    environment_server_address='localhost:10000')
  File "/root/active-qa/px/nmt/reformulator.py", line 130, in __init__
    use_placeholders=True)
  File "/root/active-qa/px/nmt/model_helper.py", line 171, in create_train_model
    trie=trie)
  File "/root/active-qa/px/nmt/gnmt_model.py", line 56, in __init__
    trie=trie)
  File "/root/active-qa/px/nmt/attention_model.py", line 65, in __init__
    trie=trie)
  File "/root/active-qa/px/nmt/model.py", line 137, in __init__
    hparams.environment_server, mode=hparams.environment_mode))
  File "/root/active-qa/px/nmt/environment_client.py", line 152, in make_environment_reward_fn
    grpc.channel_ready_future(channel).result(timeout=30)
  File "/root/active-qa/venv/local/lib/python2.7/site-packages/grpc/_utilities.py", line 134, in result
    self._block(timeout)
  File "/root/active-qa/venv/local/lib/python2.7/site-packages/grpc/_utilities.py", line 84, in _block
    raise grpc.FutureTimeoutError()
grpc.FutureTimeoutError

Does the gRPC server have to run in order to use the Reformulator or am I missing something else here?

[graviraja]

Are you running the environment server before running the reformulator code?

[JohannesTK]

That fixed it. Thanks, @graviraja!