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-2.1.0b20220425-py3-none-manylinux2010_x86_64.whl (2.3 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

bigdl_nano-2.1.0b20220425-py3-none-macosx_10_11_x86_64.whl (2.3 MB view details)

Uploaded Python 3macOS 10.11+ x86-64

File details

Details for the file bigdl_nano-2.1.0b20220425-py3-none-manylinux2010_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220425-py3-none-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.3 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-2.1.0b20220425-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3fc8c379471aa713aca38514a1230d8fc27130e89cd8b0bda25c2aa9648a5ea1
MD5 7320efb4f902890de4f2ee5a48726f8a
BLAKE2b-256 370a2a498ce944cd2d3e8f26aff6ee46916d88ba23135502b314843e854b8d49

See more details on using hashes here.

File details

Details for the file bigdl_nano-2.1.0b20220425-py3-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220425-py3-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 2.3 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-2.1.0b20220425-py3-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 c57b4400fb66b1a58fd70689161bff9bfb057b39fc4488756895ae40a4d8cec7
MD5 5caedabd28ac25c4087ec58d0638d0c4
BLAKE2b-256 f239ced082561b6711691714314d030d872e2fe9a94c398f43a409904f5be6db

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