Revision 798e8e0972b5e8117dfbd7bf5c00c4bd21533b18 authored by diegolascasas on 10 July 2018, 15:32:05 UTC, committed by Diego de Las Casas on 17 July 2018, 15:57:36 UTC
PiperOrigin-RevId: 203951281
1 parent f7c759c
README.md
# ![Sonnet](images/sonnet_logo.png)
Sonnet is a library built on top of TensorFlow for building complex neural
networks.
## Installation
Sonnet can be installed from pip, with or without GPU support.
This installation is compatible with Linux/Mac OS X and Python 2.7 and
3.{4,5,6}. The version of TensorFlow installed must be >= 1.5. Installing
Sonnet supports the [virtualenv installation mode](https://www.tensorflow.org/install/install_linux#installing_with_virtualenv)
of TensorFlow, as well as the [native pip install](https://www.tensorflow.org/install/install_linux#installing_with_native_pip).
To install sonnet, run:
```shell
$ pip install dm-sonnet
```
Sonnet will work with both the CPU and GPU version of tensorflow, but to allow
for that it does not list Tensorflow as a requirement, so you need to install
Tensorflow separately if you haven't already done so.
## Usage Example
The following code constructs a Linear module and connects it to multiple
inputs. The variables (i.e., the weights and biases of the linear
transformation) are automatically shared.
```python
import sonnet as snt
# Provide your own functions to generate data Tensors.
train_data = get_training_data()
test_data = get_test_data()
# Construct the module, providing any configuration necessary.
linear_regression_module = snt.Linear(output_size=FLAGS.output_size)
# Connect the module to some inputs, any number of times.
train_predictions = linear_regression_module(train_data)
test_predictions = linear_regression_module(test_data)
```
# Documentation
Check out the full documentation page
[here](https://deepmind.github.io/sonnet/).
![swh spinner](/static/img/swh-spinner.gif)
Computing file changes ...