This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
| [[source]] | |
| name = "pypi" | |
| url = "https://pypi.org/simple" | |
| verify_ssl = true | |
| [dev-packages] | |
| pylint = "*" | |
| [packages] | |
| sqlalchemy = "*" |
| # From @euri10 -- https://gitter.im/tiangolo/fastapi?at=5cd915ed56271260f95275ac | |
| import asyncio | |
| import pytest | |
| from sqlalchemy import create_engine | |
| from sqlalchemy_utils import create_database, database_exists, drop_database | |
| from starlette.config import environ | |
| from starlette.testclient import TestClient |
Disable all linting across the entire file:
# pylint: disable-all (older)
# pylint: skip-file (newer)
# flake8: noqaDisable specific linting errors across the entire file:
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
Deploy key is a SSH key set in your repo to grant client read-only (as well as r/w, if you want) access to your repo.
As the name says, its primary function is to be used in the deploy process in replace of username/password, where only read access is needed. Therefore keep the repo safe from the attack, in case the server side is fallen.
| # extract ILSVRC2012 without killing your SSD | |
| import tarfile | |
| import os | |
| import sys | |
| def mkdir(x): | |
| try: | |
| os.makedirs(x) | |
| except OSError, e: |