This release is a pre-release and may not be stable for production use.
BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.
See here for more information.
2 maintainers
Metadata
2 maintainers
Release files for bigdl-nano 2.5.0b20231212
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| bigdl_nano-2.5.0b20231212-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details for bigdl_nano-2.5.0b20231212-py3-none-win_amd64.whl |
| bigdl_nano-2.5.0b20231212-py3-none-manylinux2010_x86_64.whl | Python 3 | none | Linux glibc 2.12+ x86-64 | Details for bigdl_nano-2.5.0b20231212-py3-none-manylinux2010_x86_64.whl |
| bigdl_nano-2.5.0b20231212-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details for bigdl_nano-2.5.0b20231212-py3-none-macosx_11_0_arm64.whl |
| bigdl_nano-2.5.0b20231212-py3-none-macosx_10_11_x86_64.whl | Python 3 | none | macOS 10.11+ x86-64 | Details for bigdl_nano-2.5.0b20231212-py3-none-macosx_10_11_x86_64.whl |
Total release size: 11.5 MB
Release files / bigdl_nano-2.5.0b20231212-py3-none-win_amd64.whl
| Download URL | bigdl_nano-2.5.0b20231212-py3-none-win_amd64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
e81f51b298adfb45b96263f65678040678f0d978428ebcfc783f9d5bc8e176c6
|
|
BLAKE2b-256 checksum How to use checksums |
d3948346add10214c1b41072b23c6a4746c78130eb85ea385174afbf8569398e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Release files / bigdl_nano-2.5.0b20231212-py3-none-manylinux2010_x86_64.whl
| Download URL | bigdl_nano-2.5.0b20231212-py3-none-manylinux2010_x86_64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Linux glibc 2.12+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
525140a321fb250e7047c8a8f56051727b8f628e61a309acbff33df7a3eb1e90
|
|
BLAKE2b-256 checksum How to use checksums |
86c3b053292d2883382894e3684152e76598ff44cc6fffd604cf45612b5a5807
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Release files / bigdl_nano-2.5.0b20231212-py3-none-macosx_11_0_arm64.whl
| Download URL | bigdl_nano-2.5.0b20231212-py3-none-macosx_11_0_arm64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
7ab77cdf69304c01625fc1f2be302b912796f62669119f112c85770c19e2cecc
|
|
BLAKE2b-256 checksum How to use checksums |
fcdd2ffb0230a6df02e051d48cacd063d54c4df2e1a74e998338012e24f61016
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Release files / bigdl_nano-2.5.0b20231212-py3-none-macosx_10_11_x86_64.whl
| Download URL | bigdl_nano-2.5.0b20231212-py3-none-macosx_10_11_x86_64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 macOS 10.11+ x86-64 |
|
SHA-256 checksum How to use checksums |
230ef50b7045e07cc30707d5a7a36df77d6150ceee1fc6c3cc119349a6a52f48
|
|
BLAKE2b-256 checksum How to use checksums |
7d97312048b418f6865cc465b6b13cc39b3d8ee9297f47633c5b983230b948d0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
|
Security for bigdl-nano 2.5.0b20231212
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
