Intel® Extension for DeepSpeed*
This project has been archived.
The maintainers of this project have marked this project as archived. No new releases are expected.
Project description
Intel® Extension for DeepSpeed*
Intel® Extension for DeepSpeed* is an extension that brings Intel GPU (XPU) support to DeepSpeed(https://github.com/Microsoft/DeepSpeed). It comes with the following components:
- DeepSpeed Accelerator Interface implementation
- DeepSpeed op builder implmentation for XPU
- DeepSpeed op builder kernel code
DeepSpeed would automatically use Intel® Extension for DeepSpeed* when it is installed as a python package. After installation, models ported for DeepSpeed Accelerator Interface that run on DeepSpeed could run on Intel GPU device.
Installation
-
Install Intel® Extension for PyTorch* following Installation Guide
-
Install Intel® Extension for DeepSpeed*
pip install intel-extension-for-deepspeed
Or, you can build from source:
source ${DPCPPROOT}/env/vars.sh
python setup.py install
Generally, DPCPPROOT is /opt/intel/oneapi/compiler/latest for root account, ${HOME}/intel/oneapi/compiler/latest for other accounts.
- Install DeepSpeed
pip install deepspeed
Get Started
Refer to examples
Security Policy
Please report security issues or vulnerabilities to the Intel Security Center.
For more information on how Intel works to resolve security issues, see Vulnerability Handling Guidelines.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file intel_extension_for_deepspeed-0.9.4-py3-none-any.whl.
File metadata
- Download URL: intel_extension_for_deepspeed-0.9.4-py3-none-any.whl
- Upload date:
- Size: 120.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7667f3ba3d7dda749eedc0365e5974da25f633ec8b8304d0b63bb164c658ba1f
|
|
| MD5 |
418cb4cc4228b6c3f050322027f4a8d3
|
|
| BLAKE2b-256 |
19d9657b51673365943bc6d1ab5aa09e460cd8dfd36f1b648b9eecf1c3b67190
|