I am trying to do distributed training using 3 worker machines with 1 GPU each and a machine which is the PS.
I use the following command on the workers with changing task indexes(0,1,2) -
./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 0 --job_name worker
And this command for the PS - ./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 0 --job_name ps
I used -
./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 0 --job_name ps --checkpoint_dir /users/varunimagenet/deepspeech --validation_step 100.
My PS shows no output.
Worker 1 is proceeding as expected -
12% (24966 of 193284) || Elapsed Time: 5:45:28 12% (24967 of 193284) || Elapsed Time: 5:45:29 12% (24968 of 193284) || Elapsed Time: 5:45:30 12% (24969 of 193284) || Elapsed Time: 5:45:31 12% (24970 of 193284) || Elapsed Time: 5:45:32
Worker 2 shows the following error trace -
"
Preprocessing done
WARNING:tensorflow:From ./DeepSpeech.py:421: SyncReplicasOptimizer. init (from tensorflow.python.training.sync_replicas_optimizer) is deprecated and will File “/usr/lib/python3.6/http/client.py”, line 936, in connect
(self.host,self.port), self.timeout, self.source_address)
File “/usr/lib/python3.6/socket.py”, line 724, in create_connection
raise err
File “/usr/lib/python3.6/socket.py”, line 713, in create_connection
sock.connect(sa)
ConnectionRefusedError: [Errno 111] Connection refused
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “./DeepSpeech.py”, line 553, in train
job = coord.get_job()
File “/users/DeepSpeech/util/coordinator.py”, line 530, in get_job
result = self._talk_to_chief(PREFIX_GET_JOB + str(FLAGS.task_index))
File “/users/DeepSpeech/util/coordinator.py”, line 445, in _talk_to_chief
res = urllib.request.urlopen(urllib.request.Request(url, data, { ‘content-type’: ‘text/plain’ }))
File “/usr/lib/python3.6/urllib/request.py”, line 223, in urlopen
return opener.open(url, data, timeout)
File “/usr/lib/python3.6/urllib/request.py”, line 526, in open
response = self._open(req, data)
File “/usr/lib/python3.6/urllib/request.py”, line 544, in _open
‘_open’, req)
File “/usr/lib/python3.6/urllib/request.py”, line 504, in _call_chain
result = func(*args)
File “/usr/lib/python3.6/urllib/request.py”, line 1346, in http_open
return self.do_open(http.client.HTTPConnection, req)
File “/usr/lib/python3.6/urllib/request.py”, line 1320, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 111] Connection refused>
"
And worker 3 is stuck on -
"
Preprocessing done
WARNING:tensorflow:From ./DeepSpeech.py:421: SyncReplicasOptimizer. init (from tensorflow.python.training.sync_replicas_optimizer) is deprecated and will be removed in a future version.
Instructions for updating:
The SyncReplicaOptimizer class is deprecated. For synchrononous training, please use Distribution Strategies.
WARNING:tensorflow:From /root/tmp/deepspeech-venv/lib/python3.6/site-packages/tensorflow/contrib/rnn/python/ops/lstm_ops.py:696: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /root/tmp/deepspeech-venv/lib/python3.6/site-packages/tensorflow/python/training/sync_replicas_optimizer.py:352: QueueRunner. init (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the tf.data module.
"
I tried various steps but of no use.
Command I ran on the 3 workers respectively are as follows by changing the task indexes -
WORKER -1 - ./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 0 --job_name worker --checkpoint_dir /users/varunimagenet/deepspeech --validation_step 100
./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 1 --job_name worker --checkpoint_dir /users/varunimagenet/deepspeech --validation_step 100
./DeepSpeech.py --train_files /users/varunimagenet/cv-valid-train.csv --dev_files /users/varunimagenet/cv-valid-dev.csv --test_files /users/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223,10.10.1.1:2223 --task_index 2 --job_name worker --checkpoint_dir /users/varunimagenet/deepspeech --validation_step 100
I am stuck on this distributed training and would appreciate any help!
If I try to remove worker 3, and add it as a coordination host/port pair using -
./DeepSpeech.py --train_files /users/kshiteej/varunimagenet/cv-valid-train.csv --dev_files /users/kshiteej/varunimagenet/cv-valid-dev.csv --test_files /users/kshiteej/varunimagenet/cv-valid-test.csv --ps_hosts 10.10.1.2:2223 --worker_hosts 10.10.1.3:2223,10.10.1.4:2223 --validation_step 1 --test_batch_size 16 -–coord_host 10.10.1.1 --coord_port 2223
I get the following error - Traceback (most recent call last):
File “./DeepSpeech.py”, line 934, in
tf.app.run(main)
File “/root/tmp/deepspeech-venv/lib/python3.6/site-packages/tensorflow/python/platform/app.py”, line 125, in run
_sys.exit(main(argv))
File “./DeepSpeech.py”, line 894, in main
server = tf.t