Backend.AI Accelerator Plugin for Habana
Just install this along with Backend.AI agents, using the same virtual environment. This will allow the agents to detect Habana devices on their hosts and make them available to Backend.AI kernel sessions.
$ pip install -e <Path to this repository>
This open-source edition of Habana plugins support allocation of one or more Habana devices to a container, slot-by-slot.
Compatibility Matrix
TBD
Generating Docker macvlan interfaces for inter-container network
#! /bin/bash
set -e
for pci_bus_id in $(hl-smi --format=csv,noheader -Q bus_id); do
for net_dev in $(grep PCI_SLOT_NAME /sys/class/net/*/device/uevent | grep "${pci_bus_id}" | awk -F: '{print $1}' | awk -F/ '{print $5}'); do
docker network create --attachable -o parent="${net_dev}" -d macvlan "gaudi_${net_dev}" >/dev/null
echo "Docker network gaudi_${net_dev} created"
done
done
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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 backend_ai_accelerator_habana-26.8.2.tar.gz.
File metadata
- Download URL: backend_ai_accelerator_habana-26.8.2.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3156374a4e63212cd83b5f17d76d2a91a2adeea8d971e841654096076a3c3705
|
|
| MD5 |
dd33ce14ed219d0a19d310078d3a4729
|
|
| BLAKE2b-256 |
fa60f36acbe239095460da42e23e66b6c242f5d4f293267e7321dbf4c84ab0fc
|
File details
Details for the file backend_ai_accelerator_habana-26.8.2-py3-none-any.whl.
File metadata
- Download URL: backend_ai_accelerator_habana-26.8.2-py3-none-any.whl
- Upload date:
- Size: 10.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
950cc476ca58c0ca3329febcf20ec04239c0b419ffbd59b8ba8a32cdac3a7188
|
|
| MD5 |
453b439d5269032c2d232df572a5c393
|
|
| BLAKE2b-256 |
037f7e6d33d11e21e7cb11cf7452114f8349f4f0c576f3afcba47021380410eb
|
