Skip to main content

EagerPy is a thin wrapper around PyTorch, TensorFlow Eager, JAX and NumPy that unifies their interface and thus allows writing code that works natively across all of them.

Project description

https://badge.fury.io/py/eagerpy.svg https://codecov.io/gh/jonasrauber/eagerpy/branch/master/graph/badge.svg https://img.shields.io/badge/code%20style-black-000000.svg

EagerPy

EagerPy is a thin wrapper around PyTorch, TensorFlow Eager, JAX and NumPy that unifies their interface and thus allows writing code that works natively across all of them.

Learn more about in the documentation.

EagerPy is now in active use to develop Foolbox Native.

Installation

pip install eagerpy

Example

import eagerpy as ep

import torch
x = torch.tensor([1., 2., 3.])
x = ep.PyTorchTensor(x)

import tensorflow as tf
x = tf.constant([1., 2., 3.])
x = ep.TensorFlowTensor(x)

import jax.numpy as np
x = np.array([1., 2., 3.])
x = ep.JAXTensor(x)

import numpy as np
x = np.array([1., 2., 3.])
x = ep.NumPyTensor(x)

# In all cases, the resulting EagerPy tensor provides the same
# interface. This makes it possible to write code that works natively
# independent of the underlying framework.

# EagerPy tensors provide a lot of functionality through methods, e.g.
x.sum()
x.sqrt()
x.clip(0, 1)

# but EagerPy also provides them as functions, e.g.
ep.sum(x)
ep.sqrt(x)
ep.clip(x, 0, 1)
ep.uniform(x, (3, 3), low=-1., high=1.)  # x is needed to infer the framework

Compatibility

We currently test with the following versions:

  • PyTorch 1.3.1

  • TensorFlow 2.0.0

  • JAX 0.1.57

  • NumPy 1.18.1

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eagerpy-0.23.0.tar.gz (16.5 kB view hashes)

Uploaded Source

Built Distribution

eagerpy-0.23.0-py3-none-any.whl (27.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page