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Merge pull request #387 from kan-bayashi/feature/vq-vae
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Original file line number | Diff line number | Diff line change |
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# ====== About run.pl, queue.pl, slurm.pl, and ssh.pl ====== | ||
# Usage: <cmd>.pl [options] JOB=1:<nj> <log> <command...> | ||
# e.g. | ||
# run.pl --mem 4G JOB=1:10 echo.JOB.log echo JOB | ||
# | ||
# Options: | ||
# --time <time>: Limit the maximum time to execute. | ||
# --mem <mem>: Limit the maximum memory usage. | ||
# -–max-jobs-run <njob>: Limit the number parallel jobs. This is ignored for non-array jobs. | ||
# --num-threads <ngpu>: Specify the number of CPU core. | ||
# --gpu <ngpu>: Specify the number of GPU devices. | ||
# --config: Change the configuration file from default. | ||
# | ||
# "JOB=1:10" is used for "array jobs" and it can control the number of parallel jobs. | ||
# The left string of "=", i.e. "JOB", is replaced by <N>(Nth job) in the command and the log file name, | ||
# e.g. "echo JOB" is changed to "echo 3" for the 3rd job and "echo 8" for 8th job respectively. | ||
# Note that the number must start with a positive number, so you can't use "JOB=0:10" for example. | ||
# | ||
# run.pl, queue.pl, slurm.pl, and ssh.pl have unified interface, not depending on its backend. | ||
# These options are mapping to specific options for each backend and | ||
# it is configured by "conf/queue.conf" and "conf/slurm.conf" by default. | ||
# If jobs failed, your configuration might be wrong for your environment. | ||
# | ||
# | ||
# The official documentaion for run.pl, queue.pl, slurm.pl, and ssh.pl: | ||
# "Parallelization in Kaldi": http://kaldi-asr.org/doc/queue.html | ||
# =========================================================~ | ||
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# Select the backend used by run.sh from "local", "stdout", "sge", "slurm", or "ssh" | ||
cmd_backend="local" | ||
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# Local machine, without any Job scheduling system | ||
if [ "${cmd_backend}" = local ]; then | ||
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# The other usage | ||
export train_cmd="utils/run.pl" | ||
# Used for "*_train.py": "--gpu" is appended optionally by run.sh | ||
export cuda_cmd="utils/run.pl" | ||
# Used for "*_recog.py" | ||
export decode_cmd="utils/run.pl" | ||
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# Local machine, without any Job scheduling system | ||
elif [ "${cmd_backend}" = stdout ]; then | ||
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# The other usage | ||
export train_cmd="utils/stdout.pl" | ||
# Used for "*_train.py": "--gpu" is appended optionally by run.sh | ||
export cuda_cmd="utils/stdout.pl" | ||
# Used for "*_recog.py" | ||
export decode_cmd="utils/stdout.pl" | ||
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# "qsub" (SGE, Torque, PBS, etc.) | ||
elif [ "${cmd_backend}" = sge ]; then | ||
# The default setting is written in conf/queue.conf. | ||
# You must change "-q g.q" for the "queue" for your environment. | ||
# To know the "queue" names, type "qhost -q" | ||
# Note that to use "--gpu *", you have to setup "complex_value" for the system scheduler. | ||
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export train_cmd="utils/queue.pl" | ||
export cuda_cmd="utils/queue.pl" | ||
export decode_cmd="utils/queue.pl" | ||
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# "sbatch" (Slurm) | ||
elif [ "${cmd_backend}" = slurm ]; then | ||
# The default setting is written in conf/slurm.conf. | ||
# You must change "-p cpu" and "-p gpu" for the "partion" for your environment. | ||
# To know the "partion" names, type "sinfo". | ||
# You can use "--gpu * " by defualt for slurm and it is interpreted as "--gres gpu:*" | ||
# The devices are allocated exclusively using "${CUDA_VISIBLE_DEVICES}". | ||
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export train_cmd="utils/slurm.pl" | ||
export cuda_cmd="utils/slurm.pl" | ||
export decode_cmd="utils/slurm.pl" | ||
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elif [ "${cmd_backend}" = ssh ]; then | ||
# You have to create ".queue/machines" to specify the host to execute jobs. | ||
# e.g. .queue/machines | ||
# host1 | ||
# host2 | ||
# host3 | ||
# Assuming you can login them without any password, i.e. You have to set ssh keys. | ||
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export train_cmd="utils/ssh.pl" | ||
export cuda_cmd="utils/ssh.pl" | ||
export decode_cmd="utils/ssh.pl" | ||
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else | ||
echo "$0: Error: Unknown cmd_backend=${cmd_backend}" 1>&2 | ||
return 1 | ||
fi |
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