Skip to main content

A python binding for gloo

Project description

pygloo

Pygloo provides Python bindings for gloo. It is implemented using pybind11.

It is currenlty used in Ray for collective communication between CPUs.

Requirements

Python >= 3.6

Installation

Install From Wheels

We provide prepackaged Python wheels (manylinux2014_x86_64,manylinux_2_24_x86_64). To install from wheels:

pip install pygloo

Building from source

One can build pygloo from source if none of released wheels fit with the development environment.

Pygloo uses Bazel to automatically manange dependencies and compilation. To compile from source, install Bazel>=2.0.0 following the Bazel installation guide. After installing Bazel, build and install pygloo following this command:

python setup.py install

Testing

Pygloo uses Ray to create multiple, distributed processes for collective communication tests. See tests directory.

Example

An example for allreduce.

import os
import ray
import pygloo
import numpy as np

@ray.remote(num_cpus=1)
def test_allreduce(rank, world_size, fileStore_path):
    '''
    rank  # Rank of this process within list of participating processes
    world_size  # Number of participating processes
    fileStore_path # The path to create filestore
    '''
    context = pygloo.rendezvous.Context(rank, world_size)
    # Prepare device and store for rendezvous
    attr = pygloo.transport.tcp.attr("localhost")
    dev = pygloo.transport.tcp.CreateDevice(attr)
    fileStore = pygloo.rendezvous.FileStore(fileStore_path)
    store = pygloo.rendezvous.PrefixStore(str(world_size), fileStore)

    context.connectFullMesh(store, dev)

    sendbuf = np.array([[1,2,3],[1,2,3]], dtype=np.float32)
    recvbuf = np.zeros_like(sendbuf, dtype=np.float32)
    sendptr = sendbuf.ctypes.data
    recvptr = recvbuf.ctypes.data

    pygloo.allreduce(context, sendptr, recvptr,
                    sendbuf.size, pygloo.glooDataType_t.glooFloat32,
                    pygloo.ReduceOp.SUM, pygloo.allreduceAlgorithm.RING)

if __name__ == "__main__":
    ray.init(num_cpus=6)
    world_size = 2
    fileStore_path = f"{ray.worker._global_node.get_session_dir_path()}" + "/collective/gloo/rendezvous"
    os.makedirs(fileStore_path)
    ray.get([test_allreduce.remote(rank, world_size, fileStore_path) for rank in range(world_size)])

License

Gloo is licensed under the Apache License, Version 2.0.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygloo_kaihsun-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

File details

Details for the file pygloo_kaihsun-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pygloo_kaihsun-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ab1f08a8912b4fb7d2c47bfa5e5d71d44350f59c9c8798c2d510b29efd4080b
MD5 6622119676f1a9994926843ee054e146
BLAKE2b-256 8906849188515f35ebdbe3187eab1c0f7ba018014689e08a1cbc7d7b3f36e1d0

See more details on using hashes here.

Supported by

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