CT-NAS

Installation

Via poetry (recommended for projects) using PyPi: poetry add ctnas

Directly with pip from PyPi:

pip install ctnas

Via conda in your environment.yml (recommended for reproducible experiments):

name: exp01
channels:
- defaults
dependencies:
- pip>=20
- pip:
    - ctnas

From public GitHub:

pip install --upgrade git+ssh://git@github.com:innvariant/ctnas.git

Usage examples

from ctnas.api import CTNASApi

api = CTNASApi()
print(api.get_datasets())
# Should give you:
# ['spheres-b8c16fd7', 'mnist', 'spheres-23aeba4d', 'spheres-bee36cd9',
#  'spheres-b758e9f4', 'spheres-0a19afe4', 'cifar10', 'spheres-6598864b']

from ctnas.api import CTNASApi

api = CTNASApi()
print(api.get_graph_properties().head())

Gives you s.th. like:

test_dev.py . graph_uuid num_nodes ... degree_var undir_ecc_var 0 6e302aa7-6208-42a9-b1e0-08ce6d9d83ba 6 ... 1.222222 0.222222 1 ecd9c934-90ae-460c-855f-90c0b24a4150 6 ... 0.666667 0.000000 2 d111e38f-3ed1-454f-9d0e-8ded0428c9d9 6 ... 1.000000 0.222222 3 d23cac47-047c-4ec6-aaa4-e393b2ebeccd 5 ... 0.640000 0.240000 4 c56bb6f8-a9ec-44db-8c17-37b166fb5b06 6 ... 0.888889 0.222222

[5 rows x 19 columns]

import networkx as nx
import matplotlib.pyplot as plt
from ctnas.api import CTNASApi

api = CTNASApi()
graph = api.get_graph("0a1ded7d-677a-41f7-9361-c7079c8a34a7")
nx.draw(graph)
plt.show()

Cite our work

@misc{stier2022ctnas,
    title={CT-NAS: Analysis of Hidden Structural Priors for Neural Architecture Search},
    author={Julian Stier and Michael Granitzer},
    year={2022}
}

MinIO Policy

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "s3:GetObject"
      ],
      "Effect": "Allow",
      "Resource": [
        "arn:aws:s3:::homes/stier/ctnas/*"
      ]
    }
  ]
}

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "s3:GetObject"
      ],
      "Effect": "Allow",
      "Principal": {
        "AWS": [
          "*"
        ]
      },
      "Resource": [
        "arn:aws:s3:::homes/stier/ctnas/*"
      ],
      "Sid": ""
    }
  ]
}