Switch branches/tags
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
39 lines (26 sloc) 1.14 KB


Application settings are managed by Flask. This means you can use environment variables or a configuration file.

To specify your own configuration, use the PICASSO_SETTINGS environment variable. Let's look at the Tensorflow MNIST example.

export PICASSO_SETTINGS=/absolute/path/to/repo/picasso/picasso/examples/tensorflow/

Tells the app to use this configuration instead of the default one. Inside, we have:

import os

base_dir = os.path.split(os.path.abspath(__file__))[0]

MODEL_CLS_PATH = os.path.join(base_dir, '')
MODEL_CLS_NAME = 'TensorflowMNISTModel'
    'data_dir': os.path.join(base_dir, 'data-volume'),
    'tf_input_var': 'convolution2d_input_1:0',
    'tf_predict_var': 'Softmax:0',

Any lowercase line is ignored for the purposes of determining a setting. MODEL_LOAD_ARGS will pass the arguments along to the model's load function.

For explanations of each setting, see :mod:`picasso.config`.