At the start, I have:
- CentOS
centos-release-7-7.1908.0.el7.centos.x86_64. - Slurm
- Installed to
/opt/slurm. - Only
slurmctldandslurmdare running.
- Installed to
- Munge.
| { | |
| "src_path":"https://xavlabs-repository.s3.amazonaws.com/fnet/shafin/IMG_20190625_145657.jpg", | |
| "dst_path":"https://xavlabs-repository.s3.amazonaws.com/fnet/baseIdCard/IMG_6591.JPG" | |
| } |
| version: '2' | |
| services: | |
| dbpostgres: | |
| image: postgres | |
| volumes: | |
| - /private/var/lib/postgresql:/var/lib/postgresql | |
| ports: | |
| - "5432:5432" | |
| environment: | |
| POSTGRES_USER: username |
| package main | |
| import ( | |
| "encoding/json" | |
| "fmt" | |
| "text/template" | |
| "os" | |
| ) | |
| type StatusType struct { |
| <!DOCTYPE html> | |
| <html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | |
| <style> | |
| body { | |
| background: repeat url('data:image/jpeg;base64,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 |
| var entityMap = { | |
| '&': '&', | |
| '<': '<', | |
| '>': '>', | |
| '"': '"', | |
| "'": ''', | |
| '/': '/', | |
| '`': '`', | |
| '=': '=' | |
| }; |
| # You need to install scikit-learn: | |
| # sudo pip install scikit-learn | |
| # | |
| # Dataset: Polarity dataset v2.0 | |
| # http://www.cs.cornell.edu/people/pabo/movie-review-data/ | |
| # | |
| # Full discussion: | |
| # https://marcobonzanini.wordpress.com/2015/01/19/sentiment-analysis-with-python-and-scikit-learn |
| # Notes: | |
| # You need to have the tensorport package installed (pip install tensorport) | |
| # Export logs to /logs, your data is in /data. | |
| # See example here https://github.com/tensorport/mnist/blob/master/mnist_conv.py | |
| # and documentation here | |
| import tensorflow as tf | |
| from tensorport import get_data_path, get_logs_path | |
| import tensorflow as tf | |
| import numpy as np | |
| class TextCNN(object): | |
| """ | |
| A CNN for text classification. | |
| Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer. | |
| """ | |
| def __init__( |
| # Edit ~/.bash_profile | |
| export GOPATH=/Users/username/go | |
| export PATH=$GOPATH/bin:$PATH | |
| # Reload profile : source ~/.bash_profile |