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nabu 2.0
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vrenkens committed Apr 28, 2017
1 parent 91d4e47 commit b4d58d0
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1 change: 1 addition & 0 deletions .gitignore
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*.pyc
*.conf
cluster
nabu/computing/condor/create_environment.sh
2 changes: 1 addition & 1 deletion .pylintrc
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# --enable=similarities". If you want to run only the classes checker, but have
# no Warning level messages displayed, use"--disable=all --enable=classes
# --disable=W"
disable= R, C0103, C0413
disable= R, C0103, C0413, W0403


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564 changes: 86 additions & 478 deletions README.md

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137 changes: 0 additions & 137 deletions asr_dataprep.py

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9 changes: 0 additions & 9 deletions config/asr/DBLSTM.cfg

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5 changes: 5 additions & 0 deletions config/computing/README.md
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# Computing configuration

This directory contains the configuration files for the different computing
modes. You can find more information about these modes
[here](../../nabu/computing/README.md).
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[computing]
#build the cluster with HTCondor. HTCondor will be used to dynamically assign
#machines to the cluster and will then execute on that cluster
distributed = condor
#the number of parameter servers (minimum 1)
numps = 1
#the number of workers (minimum 1)
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3 changes: 3 additions & 0 deletions config/computing/condor/non_distributed.cfg
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[computing]
#the minimum memory requirement of the GPUs in Mb
minmemory = 2000
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[computing]
#build the cluster with HTCondor. HTCondor will be used to dynamically assign
#machines to the cluster and will then execute on that cluster
distributed = condor_local
#the number of parameter servers (minimum 1)
numps = 2
#the number of workers (minimum 1)
numworkers = 1
#the minimum memory requirement of the GPUs in Mb
minmemory = 1000
minmemory = 6000
3 changes: 0 additions & 3 deletions config/computing/non-distributed.cfg

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#ps,ps.machines.com,1024
#worker,worker1.machines.com,1024,0
#worker,worker2.machines.com,1024,0
distributed = static
#the file where the cluster is defined
clusterfile = cluster
#wheterer or not ssh_tunnels should be created to communicate between machines
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[computing]
#use local computing
distributed = local
#the number of parameter servers (minimum 1)
numps = 2
numps = 1
#the number of workers (minimum 1)
numworkers = 1
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