def run(file):
"""Command for running a polyaxonfile."""
plx_file = PolyaxonFile(file)
if plx_file.run_type == RunTypes.LOCAL:
# check that polyaxon is installed
version = get_version(PROJECT_NAME)
if version is None:
click.echo("""In order to run locally, polyaxon must be installed.""")
if click.confirm("Do you want to install polyaxon now?"):
from polyaxon_cli.cli.version import pip_upgrade
pip_upgrade(PROJECT_NAME)
else:
click.echo("""Your can manually run:
pip install -U polyaxon
to install to the latest version of polyaxon)""")
sys.exit(0)
logger.info('Running polyaxonfile locally')
from polyaxon.polyaxonfile.local_runner import run
run(file)
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an experiment using cnn for CIFAR-10 dataset classification task.
References:
* Learning Multiple Layers of Features from Tiny Images, A. Krizhevsky, 2009.
Links:
* [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html)
"""
plx.datasets.cifar10.prepare('../data/cifar10')
local_runner.run('./yaml_configs/convnet_cifar10.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an experiment using Lenet network.
Links:
* http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/lenet.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an auto encoder on MNIST handwritten digits.
inks:
* [MNIST Dataset] http://yann.lecun.com/exdb/mnist/
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/conv_autoencoder_mnist.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates a variational auto encoder on MNIST handwritten digits.
inks:
* [MNIST Dataset] http://yann.lecun.com/exdb/mnist/
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/variational_autoencoder.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an experiement using a VGG19 to mnist Dataset.
References:
* Very Deep Convolutional Networks for Large-Scale Image Recognition.
K. Simonyan, A. Zisserman. arXiv technical report, 2014.
Links:
* http://arxiv.org/pdf/1409.1556
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/vgg19.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an experiment using cnn for MNIST dataset classification task.
References:
* Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to
document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998.
Links:
* [MNIST Dataset] http://yann.lecun.com/exdb/mnist/
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/conv_mnist.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an experiment using Alexnet applied to Oxford's 17 Category Flower Dataset.
References:
* Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet Classification with
Deep Convolutional Neural Networks. NIPS, 2012.
* 17 Category Flower Dataset. Maria-Elena Nilsback and Andrew Zisserman.
Links:
* [AlexNet Paper](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) # noqa
* [Flower Dataset (17)](http://www.robots.ox.ac.uk/~vgg/data/flowers/17/)
"""
plx.datasets.flowers17.prepare('../data/flowers17')
local_runner.run('./yaml_configs/alexnet_flower17.yml')
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import polyaxon as plx
from polyaxon.polyaxonfile import local_runner
if __name__ == "__main__":
"""Creates an auto encoder on MNIST handwritten digits.
inks:
* [MNIST Dataset] http://yann.lecun.com/exdb/mnist/
"""
plx.datasets.mnist.prepare('../data/mnist')
local_runner.run('./yaml_configs/denoising_conv_autoencoder.yml')