High-performance scalable acceleration components for intel.
Project description
BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.
See here for more information.
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
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
File details
Details for the file bigdl_nano-2.4.0b20230430-py3-none-win_amd64.whl.
File metadata
- Download URL: bigdl_nano-2.4.0b20230430-py3-none-win_amd64.whl
- Upload date:
- Size: 2.7 MB
- Tags: Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f7ca745d4001e461cd656029192be9a3c5173c208b469a44ebbcd629104d9089 |
|
| MD5 | bb0d9a2e86da7fed367949a7b17e37f0 |
|
| BLAKE2b-256 | 1d926d4dc996754f3a943cca70ef060bcfb77b50179ed901767d8382c7110359 |
File details
Details for the file bigdl_nano-2.4.0b20230430-py3-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: bigdl_nano-2.4.0b20230430-py3-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 2.7 MB
- Tags: Python 3, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e9062facdc5b4f2f71c5ff1eb97857cfb67d355feed523416f7fe50fa2a84430 |
|
| MD5 | caefdec4242e4c8564043ff9fe804255 |
|
| BLAKE2b-256 | 3d2346c5b595d2c35c14a98e73b303656218fc28c8c3b0c01c994e7711d7e53c |
File details
Details for the file bigdl_nano-2.4.0b20230430-py3-none-macosx_11_0_arm64.whl.
File metadata
- Download URL: bigdl_nano-2.4.0b20230430-py3-none-macosx_11_0_arm64.whl
- Upload date:
- Size: 2.7 MB
- Tags: Python 3, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3e577efacafcd303876d54b3da344019fb8e0f3846c75630b658a8c493a0bab0 |
|
| MD5 | e78ec81defd5d60cc91b88aa80f75727 |
|
| BLAKE2b-256 | 6f5a1cc297eb644cdbf7148fa38d8e973ac18bee8fc6e8c809f0c3e3e9877c96 |
File details
Details for the file bigdl_nano-2.4.0b20230430-py3-none-macosx_10_11_x86_64.whl.
File metadata
- Download URL: bigdl_nano-2.4.0b20230430-py3-none-macosx_10_11_x86_64.whl
- Upload date:
- Size: 2.7 MB
- Tags: Python 3, macOS 10.11+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 75d788e1b8110ee593e619c5060c228528cf8bc2ca6980bb415fdb2cbe740768 |
|
| MD5 | 58de4d91ff74e05215bebca665756962 |
|
| BLAKE2b-256 | 98343cfc6ee13ee63a7f0534a9b3eefce396fd0bdafbc27405d388781d975daa |
