David Portes commited on
Commit ·
80f2dbf
1
Parent(s): 0288ea1
${latest}
Browse files- Unix_commands +118 -0
Unix_commands
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| 1 |
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tar -xvC mydirectory/ -f myarchive.tgz
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| 2 |
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ls *.gz |xargs -n1 tar -xvC /home/daporte/PycharmProjects/4d-graphs/models -f
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untar mutliple files into separate dirs:
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for file in *results.tar.gz;
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do mkdir -p "/home/daporte/PycharmProjects/4d-graphs/results/trial_${file%.tar.gz*}";
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tar -xf $file -C "/home/daporte/PycharmProjects/4d-graphs/results/trial_${file%.tar.gz*}";
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done
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unzip:
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unzip '*.zip'
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tar -xf archive.tar.bz2
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list ssh keys:
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ls -al ~/.ssh
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To quickly kill all the stopped jobs under the bash, enter:
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kill -9 `jobs -ps`
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ssh setup key:
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ssh-keygen
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ssh-add
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eval `ssh-agent -s` / Could not open a connection to your authentication agent.
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SSH jupyer notebooks:
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Essentially you just run the notebook on the remote in no browser mode.
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jupyter notebook --no-browser --port=8080
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Then setup up an ssh tunnel from the local machine:
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ssh -L 8080:localhost:8080 <REMOTE_USER>@<REMOTE_HOST>
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Sizes of files:
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du -sh ./*| sort -h
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du -ah .| sort -h
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copy and rename multiple files:
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pax -rw -pe -s/2015/2016/ source/ target/
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copy file to/from server:
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scp /file/to/send username@remote:/where/to/put
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scp username@remote:/file/to/send /where/to/put
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find string in folders:
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grep -r "register_long_arrays" *
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find file in folder:
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find /search/directory/ -name "matching file search criteria"
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Linux version:
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hostnamectl
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Conda:
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conda config --add channels conda-forge
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conda config --set channel_priority strict
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conda install --file requirements.txt
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Install env in a specific dir:
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conda create --prefix speech_gen --file ~/speech_generation/requirements.txt
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install miniconda:
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mkdir -p ~/miniconda3
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wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
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bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
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rm -rf ~/miniconda3/miniconda.sh
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~/miniconda3/bin/conda init bash
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~/miniconda3/bin/conda init zsh
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install mamba:
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conda install mamba -n base -c conda-forge
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# environment.yml
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name: test-env
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dependencies:
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| 90 |
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- python>=3.5
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| 91 |
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- anaconda
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| 92 |
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- pip
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| 93 |
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- pip:
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| 94 |
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- -r file:requirements.txt
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| 95 |
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| 96 |
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| 97 |
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mamba create -n speechbrain --file environment.yml
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| 98 |
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pip venv:
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https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/
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python3 -m venv env
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source env/bin/activate
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jupyter:
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nb_conda_kernels : conda kernels not showing up
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speech_gen:
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cachemanager error: upgrade librosa
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CUDA:
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export CUDA_VISIBLE_DEVICES=0,1
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