Skip to main content
Pre-release

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.

Metadata

Release files for bigdl-nano 2.5.0b20231204

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-nano 2.5.0b20231204
File Actions
bigdl_nano-2.5.0b20231204-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.5.0b20231204-py3-none-win_amd64.whl
bigdl_nano-2.5.0b20231204-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.5.0b20231204-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.5.0b20231204-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.5.0b20231204-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.5.0b20231204-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.5.0b20231204-py3-none-macosx_10_11_x86_64.whl

Total release size: 11.5 MB

Release files / bigdl_nano-2.5.0b20231204-py3-none-win_amd64.whl

Download URL bigdl_nano-2.5.0b20231204-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
681a1835d2c3ddca4ab9e6672ab7f67bd766b904d817a1d80fe99780b6e701a8
BLAKE2b-256 checksum
How to use checksums
214346c17a51f0ace617eb71ccbf64d53c631c8e06de9b1b35730cfacb558123
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-2.5.0b20231204-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.5.0b20231204-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
2287e0ee2c2982bbb77293ee86732ed254c2378d217b6da368ce6372f26cc16b
BLAKE2b-256 checksum
How to use checksums
c608cb5ce9d823470c401d419eea87870126b5e742f2fd47964e42df815d1a2a
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-2.5.0b20231204-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.5.0b20231204-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
81899f5f00c2e6c7fa08c2ff9a890d12191ac6ed2de2202ad1d683335b567b98
BLAKE2b-256 checksum
How to use checksums
5969bea2c2144eab31bb156884b1346af95fa4e18ce8e3640b12c2ba57c4e682
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-2.5.0b20231204-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.5.0b20231204-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
83c894852c72dbfd0e746d0135f07edd9a2a39c19ec22a8ec7612d9ab5436225
BLAKE2b-256 checksum
How to use checksums
8ced3bd995a5dbb38f05532e60ea3f322fbd060ad62b5cf9e731284331725469
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 2.5.0b20231204

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.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page