Skip to main content

High-performance scalable acceleration components for intel.

Project description

The author of this package has not provided a project description

Project details


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

If you're not sure about the file name format, learn more about wheel file names.

bigdl_nano-2.1.0b20220422-py3-none-manylinux2010_x86_64.whl (2.2 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

bigdl_nano-2.1.0b20220422-py3-none-macosx_10_11_x86_64.whl (2.2 MB view details)

Uploaded Python 3macOS 10.11+ x86-64

File details

Details for the file bigdl_nano-2.1.0b20220422-py3-none-manylinux2010_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220422-py3-none-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.8

File hashes

Hashes for bigdl_nano-2.1.0b20220422-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 94c140b3eed50238c5be6ea7960596ba81ecaba429d038cb58ede036227bd646
MD5 9102d9500cda66dedc8f78fbc504bbe6
BLAKE2b-256 f7d7064718a7ecff5b9d3643eeff175cca5e7559d66533b697fc8a2d4ade0592

See more details on using hashes here.

File details

Details for the file bigdl_nano-2.1.0b20220422-py3-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220422-py3-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.8

File hashes

Hashes for bigdl_nano-2.1.0b20220422-py3-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 a28e604b5ec5bc755f3cc3509e7909a2babf8ecc4d3815be41511e8e00abb860
MD5 0ef1162d6db51fa63ebb41a95ed04774
BLAKE2b-256 29ec3735669ba4316a6e6a591700c6a8fecfdbc13810298ba651f3e8a338e576

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page