Lijun Zhu lijunzh
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| class bcolors: | |
| HEADER = '\033[95m' | |
| OKBLUE = '\033[94m' | |
| OKGREEN = '\033[92m' | |
| WARNING = '\033[93m' | |
| FAIL = '\033[91m' | |
| ENDC = '\033[0m' | |
| BOLD = '\033[1m' | |
| UNDERLINE = '\033[4m' | |
lijunzh
/ pytorch.yml
Last active
March 30, 2020 20:33
Conda environment file to set up latest PyTorch on Ubuntu
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| name: pytorch | |
| channels: | |
| - pytorch | |
| dependencies: | |
| - pip | |
| - pytorch | |
| - torchvision | |
| - cudatoolkit=10.1 |
lijunzh
/ conda_setup.sh
Last active
March 30, 2020 20:48
Bash script that setup standard conda environment for scientific conputing from scratch.
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| #!/bin/bash | |
| INSTALL_DIR=${HOME}/conda | |
| INSTALL_SH='conda.sh' | |
| # determin OS | |
| OS=$(uname -s) | |
| CONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-${OS/Darwin/MacOSX}-$(uname -m).sh" | |
| # download installation file |
lijunzh
/ install_dotfiles
Last active
March 18, 2020 14:49
Code snippets for install dotfile managed by a git bare repo following https://developer.atlassian.com/blog/2016/02/best-way-to-store-dotfiles-git-bare-repo/
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| # Suorce: https://news.ycombinator.com/item?id=11071754 | |
| repo="https://github.com/lijunzh/dotfiles.git" | |
| # Uncomment if initiate a new dotfiles bare repo | |
| # git init --bare $HOME/.cfg | |
| # Uncomment if install existing dotfiles repo | |
| git clone --bare ${repo} ~/.cfg | |
| # Set temporary config commend, alias should be added in .bashrc |
lijunzh
/ ndarray_as_tmp_file
Created
March 17, 2018 11:05
Read and writing performance test between numpy.ndarray (.npy) vs obspy.Stream (.mseed).
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| Python 3.6.4 |Anaconda custom (64-bit)| (default, Mar 12 2018, 20:05:31) | |
| Type 'copyright', 'credits' or 'license' for more information | |
| IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help. | |
| In [1]: import numpy as np | |
| In [2]: import obspy | |
| In [3]: data = np.random.randn(6000, 3, 2000) |
lijunzh
/ Output_from_Nvidia_deviceQuery_1080_Ti
Created
May 12, 2017 14:37
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| CUDA Device Query (Runtime API) version (CUDART static linking) | |
| Detected 1 CUDA Capable device(s) | |
| Device 0: "GeForce GTX 1080 Ti" | |
| CUDA Driver Version / Runtime Version 8.0 / 8.0 | |
| CUDA Capability Major/Minor version number: 6.1 | |
| Total amount of global memory: 11171 MBytes (11713708032 bytes) | |
| (28) Multiprocessors, (128) CUDA Cores/MP: 3584 CUDA Cores | |
| GPU Max Clock rate: 1582 MHz (1.58 GHz) |