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 2.1.0b20220914

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 2.1.0b20220914
File Interpreter ABI Platform Actions
bigdl_nano-2.1.0b20220914-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.1.0b20220914-py3-none-win_amd64.whl
bigdl_nano-2.1.0b20220914-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.1.0b20220914-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.1.0b20220914-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.1.0b20220914-py3-none-macosx_10_11_x86_64.whl

Total release size: 8.6 MB

Release files / bigdl_nano-2.1.0b20220914-py3-none-win_amd64.whl

Download URL bigdl_nano-2.1.0b20220914-py3-none-win_amd64.whl
Size 2.9 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
37bdcd145a01aca534e4c7659849ff5e7104035758dd0072167475a3b5f5039e
BLAKE2b-256 checksum
How to use checksums
59e3ade8ee9b4f06880a7318179ece392428b186b2dbd89fab03129fc8c668bf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.1.0b20220914-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.1.0b20220914-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
aad864e7e4354dafca7458b81f027fcd44086d4f2b96d1d154ebe5d222716c4f
BLAKE2b-256 checksum
How to use checksums
92785e010b54dfa2896383c3f294c01061a2668bc102b2d7ecb3fd00dc08a23e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_nano-2.1.0b20220914-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.1.0b20220914-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
5db603f8b540d01348d88684412fb54cc93a7730340d9bbafab57dd4b586a5ad
BLAKE2b-256 checksum
How to use checksums
328b372e81d198a377b227026c87c6b7b1f97dc8909d966808d23b3d45d0a111
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-nano 2.1.0b20220914

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