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
Built Distributions
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 bigdl_nano-2.2.0b20221102-py3-none-win_amd64.whl.
File metadata
- Download URL: bigdl_nano-2.2.0b20221102-py3-none-win_amd64.whl
- Upload date:
- Size: 2.9 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 |
f98490b271fe5e529e028671e48dda765f8c05be24f6b27425b3e8f89e9871d4
|
|
| MD5 |
4f04f5bc062367a9a4d3f472c3e7243d
|
|
| BLAKE2b-256 |
41cc662e2df80ad5b1e8e0c8a06c7e08fdd0fadefa1fe6ce3d1e67d638a853fc
|
File details
Details for the file bigdl_nano-2.2.0b20221102-py3-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: bigdl_nano-2.2.0b20221102-py3-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 2.9 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 |
f5405f510ea6d4715f527ce3cd804849a05663df9119956aa34fa7cea814a379
|
|
| MD5 |
b44b129274d6a087f0a2cb19b112de9b
|
|
| BLAKE2b-256 |
0b493f3ce2d53354da0f488b1234630f0745781e5dcc296b5350f75f0c315887
|
File details
Details for the file bigdl_nano-2.2.0b20221102-py3-none-macosx_10_11_x86_64.whl.
File metadata
- Download URL: bigdl_nano-2.2.0b20221102-py3-none-macosx_10_11_x86_64.whl
- Upload date:
- Size: 2.9 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 |
aa970749d0e2f8a40d90133f53238d352a5488e31e481ae9e8e8b3a02a222fff
|
|
| MD5 |
3946930bc0cbf9aee72faa9792bf7f9f
|
|
| BLAKE2b-256 |
ebb87573c685de88980dd86236c19d6b93caf506aada7a5856d4f25755a6d470
|
