Tensorflow¶
About¶
Tensorflow is an open-source machine learning platform. It provides an ecosystem of tools and libraries that allow researchers to build and deploy machine learning applications.
Workflow 1: Singularity¶
Installing Tensorflow with Singularity¶
Note
The flight environment will need to be activated before the environments can be created so be sure to run flight start or setup your environment to automatically activate the flight environment.
Create a singularity software environment:
[flight@gateway1 (scooby) ~]$ flight env create singularity
Activate the environment:
[flight@gateway1 (scooby) ~]$ flight env activate singularity
Running the Job¶
Download the example job models:
<singularity> [flight@gateway1 (scooby) ~]$ git clone -b v1.13.0 https://github.com/tensorflow/models.git
Launch the tensorflow docker container with singularity to run the job:
<singularity> [flight@gateway1 (scooby) ~]$ singularity exec docker://tensorflow/tensorflow:1.15.0 python ./models/tutorials/image/mnist/convolutional.py
Workflow 2: Conda¶
Note
The flight environment will need to be activated before the environments can be created so be sure to run flight start or setup your environment to automatically activate the flight environment.
Installing TensorFlow with Conda¶
Create a conda software environment:
[flight@gateway1 (scooby) ~]$ flight env create conda
Activate the environment:
[flight@gateway1 (scooby) ~]$ flight env activate conda
Create a Python environment for tensorflow:
<conda> [flight@gateway1 (scooby) ~]$ conda create -n tensorflow python=3.6
Activate the Python environment:
<conda> [flight@gateway1 (scooby) ~]$ source activate tensorflow
Install the tensorflow package:
<conda> [flight@gateway1 (scooby) ~]$ pip install tensorflow==1.15
Running the Job¶
Download the example job models:
<conda> [flight@gateway1 (scooby) ~]$ git clone -b v1.13.0 https://github.com/tensorflow/models.git
Execute the job with python:
<conda> [flight@gateway1 (scooby) ~]$ python ./models/tutorials/image/mnist/convolutional.py