Issue with lm.one_billion_wds.OneBWdsGPipeTransformer

[Raviteja1996]

Hi, I am trying to run the above mentioned model in the docker. I was facing the error when I ran the following command,
**command : ** bazel-bin/lingvo/trainer --run_locally=gpu --mode=sync --model=lm.one_billion_wds.OneBWdsGPipeTransformer --logdir=/tmp/mnist/log --logtostderr --worker_split_size=4
I have a 4 GPU system so I am using split_size=4. When I asked how to try out Gpipe in issue #48 I was given this command and also was asked to modify OneBWdsGPipeTransformer hparams, I haven't done the changes for hparams is the following error because of that? If I need to change something can you help in what hparams I need to change. I am also posting the error logo below:

**Error log : **

err.txt

[jonathanasdf]

Please try

bazel-bin/lingvo/trainer --run_locally=gpu --mode=sync --model=lm.one_billion_wds.OneBWdsGPipeTransformer --logdir=/tmp/mnist/log --logtostderr --controller_gpus=4 --worker_gpus=4 --worker_split_size=4

(Having to specify controller_gpus is a bug that we will fix)

[jonathanasdf]

There also seems to be a failing assertion right now with that model, we will look into that too.

[Raviteja1996]

Hi I tried the command you gave me in the above comment. I think it progressed and some where it met with Aborted (core dumped). I am attaching the error log:
**Error log : **
error.txt

[jonathanasdf]

Yes, there is some error with the model configuration right now. We are sorry about the problem and will update this issue when it is resolved.

[fangelyuan]

@jonathanasdf
hello， when i run /lingvo/trainer --run_locally=gpu --mode=sync --model=lm.one_billion_wds.OneBWdsGPipeTransformer --logdir=/tmp/mnist/log --logtostderr --worker_split_size=4 --worker_gpus=4 --worker_split_size=4
I have a problem，can you tell me how to resolve it.

I0530 07:26:44.508102 140140756334336 trainer.py:305] Load from checkpoint /tmp/mnist/log/train/ckpt-00000000.
I0530 07:26:44.509429 140140756334336 saver.py:1276] Restoring parameters from /tmp/mnist/log/train/ckpt-00000000
I0530 07:26:45.732462 140140747941632 retry.py:68] Retry: caught exception: _WaitTillInit while running FailedPreconditionError: Attempting to use uninitialized value global_step
[[{{node _send_global_step_0}}]]
. Call failed at (most recent call last):
File "/usr/lib/python2.7/threading.py", line 774, in __bootstrap
self.__bootstrap_inner()
File "/usr/lib/python2.7/threading.py", line 801, in __bootstrap_inner
self.run()
File "/usr/lib/python2.7/threading.py", line 754, in run
self.__target(*self.__args, **self.__kwargs)
File "/home/ywx510667/lingvo-master/bazel-bin/lingvo/trainer.runfiles/main/lingvo/trainer.py", line 421, in Start
self._RunLoop('trainer', self._Loop)
File "/home/ywx510667/lingvo-master/bazel-bin/lingvo/trainer.runfiles/main/lingvo/core/retry.py", line 50, in wrapper
return func(*args, **kwargs)
File "/home/ywx510667/lingvo-master/bazel-bin/lingvo/trainer.runfiles/main/lingvo/base_runner.py", line 196, in _RunLoop
loop_func(*loop_args)
Traceback for above exception (most recent call last):
File "/home/ywx510667/lingvo-master/bazel-bin/lingvo/trainer.runfiles/main/lingvo/core/retry.py", line 50, in wrapper
return func(*args, **kwargs)
File "/home/ywx510667/lingvo-master/bazel-bin/lingvo/trainer.runfiles/main/lingvo/trainer.py", line 455, in _WaitTillInit
global_step = sess.run(self._model.global_step)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 948, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1171, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1348, in _do_run
run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1368, in _do_call
raise type(e)(node_def, op, message)

[bignamehyp]

The VOCAB_SIZE was incorrectly set. We will fix it asap.

[bignamehyp]

This issue should have been fixed. Please close it if there is no further issue.