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#!/usr/bin/python | |
import sys | |
import re | |
import os | |
from collections import defaultdict | |
PARTNER_PENALTY = 2 | |
OPPONENT_PENALTY = 1 |
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1A2B | |
3C4D | |
5E6F | |
7G8H | |
9I10J | |
11K12L | |
1K12J | |
2L3A | |
4B5C |
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#!/usr/bin/python | |
import sys | |
import re | |
import os | |
from collections import defaultdict | |
PARTNER_PENALTY = 2 | |
OPPONENT_PENALTY = 1 |
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# The MIT License | |
# | |
# Copyright (c) 2020 Adam Stelmaszczyk | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a copy | |
# of this software and associated documentation files (the "Software"), to deal | |
# in the Software without restriction, including without limitation the rights | |
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
# copies of the Software, and to permit persons to whom the Software is | |
# furnished to do so, subject to the following conditions: |
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Usually the encoding is "MS-Windows code page 1250", but we want UTF-8. | |
sudo apt-get install enca | |
enconv -L polish -x utf8 subtitles.srt | |
To check file encoding use -m: | |
enconv -L polish -m subtitles.srt |
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$ python run_job.py -n 5 -g 60 -c 12 --simulator_procs 10 --use_sync --name breakout --short | |
args.offline: False | |
('bash command: ', 'srun -A luna -N 5 -n 5 -c 12 -t 55:00 distributed_tensorpack_mkl.sh 61216 30065 Breakout-v0 adam 1 "3nodes 12cores" "breakout_1517329773.87" 0.00015 128 60 0 None 256 10 1 uniform normal False . True 1 False /net/archive/groups/plggluna/intel_2/logs/ 1e-08 0.9 0.999 0 False False False False 120 False') | |
srun: job 9511741 queued and waiting for resources | |
srun: job 9511741 has been allocated resources | |
SLURM_JOB_ID 9511741 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[0111-0112,0115,0574,0576] ; SLURMD_NODENAME p0112 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9511741 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[0111-0112,0115,0574,0576] ; SLURMD_NODENAME p0111 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9511741 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[0111-0112,0115,0574,0576] ; SLURMD_NODENAME p0115 ; |
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$ python run_job.py -n 5 -g 60 -c 12 --use_sync --name neptune_job_name clear^C | |
[prometheus][plghenrykm@login01 src]$ vim OpenAIGym/train.py | |
[prometheus][plghenrykm@login01 src]$ python run_job.py -n 5 -g 60 -c 12 --use_sync --name neptune_job_name | |
args.offline: False | |
('bash command: ', 'srun -A luna -N 5 -n 5 -c 12 -t 6:00:00 distributed_tensorpack_mkl.sh 17351 9236 Breakout-v0 adam 1 "3nodes 12cores" "neptune_job_name_1517240471.8" 0.00015 128 60 0 None 256 100 1 uniform normal False . True 1 False /net/archive/groups/plggluna/intel_2/logs/ 1e-08 0.9 0.999 0 False False False False 120 False') | |
SLURM_JOB_ID 9495449 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[1567-1568,1577,1580,1584] ; SLURMD_NODENAME p1584 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9495449 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[1567-1568,1577,1580,1584] ; SLURMD_NODENAME p1580 ; SLURM_JOB_NUM_NODES 5 | |
mkdir: cannot create directory ‘/net/archive/groups/plggluna |
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$ python run_job.py -n 5 -g 60 -c 12 --use_sync --name neptune_job_name | |
args.offline: False | |
('bash command: ', 'srun -A luna -N 5 -n 5 -c 12 -t 6:00:00 distributed_tensorpack_mkl.sh 35083 45394 Breakout-v0 adam 1 "3nodes 12cores" "neptune_job_name_1517179219.79" 0.00015 128 60 0 None 256 100 1 uniform normal False . True 1 False /net/archive/groups/plggluna/intel_2/logs/ 1e-08 0.9 0.999 0 False False False False 120 False') | |
SLURM_JOB_ID 9486553 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[1340-1341,1343,1347-1348] ; SLURMD_NODENAME p1341 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9486553 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[1340-1341,1343,1347-1348] ; SLURMD_NODENAME p1343 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9486553 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NODELIST p[1340-1341,1343,1347-1348] ; SLURMD_NODENAME p1347 ; SLURM_JOB_NUM_NODES 5 | |
SLURM_JOB_ID 9486553 ; SLURM_JOB_NAME distributed_tensorpack_mkl.sh ; SLURM_JOB_NOD |
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==47003== HEAP SUMMARY: | |
==47003== in use at exit: 10,310,600 bytes in 10,626 blocks | |
==47003== total heap usage: 34,382,917 allocs, 34,372,291 frees, 6,408,626,531 bytes allocated | |
==47003== | |
==47003== 48 bytes in 1 blocks are definitely lost in loss record 1,256 of 1,984 | |
==47003== at 0x4C2BBAF: malloc (vg_replace_malloc.c:299) | |
==47003== by 0x6EA8FBD: SwigPyClientData_New (in /home/astelma/miniconda3/envs/py2/lib/python2.7/site-packages/opensim/_simbody.so) | |
==47003== by 0x6EB4B73: SwigPyIterator_swigregister (in /home/astelma/miniconda3/envs/py2/lib/python2.7/site-packages/opensim/_simbody.so) | |
==47003== by 0x4F351E4: call_function (ceval.c:4352) | |
==47003== by 0x4F351E4: PyEval_EvalFrameEx (ceval.c:2989) |
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# Copyright 2017 reinforce.io. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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