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-2.1.0b20220411-py3-none-manylinux2010_x86_64.whl (2.2 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

bigdl_nano-2.1.0b20220411-py3-none-macosx_10_11_x86_64.whl (94.2 kB view details)

Uploaded Python 3macOS 10.11+ x86-64

File details

Details for the file bigdl_nano-2.1.0b20220411-py3-none-manylinux2010_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220411-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-2.1.0b20220411-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b7fc42069cc9636e76684526b3507e6a6f1a9649e08475dca171e5a2c5881d59
MD5 ba9233ea98ef1ba617d834964fb31c19
BLAKE2b-256 839190ed18f9f813ec352bfe0c7dc20ce5c17224b5931852976b51c16ed3fda2

See more details on using hashes here.

File details

Details for the file bigdl_nano-2.1.0b20220411-py3-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220411-py3-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 94.2 kB
  • 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-2.1.0b20220411-py3-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 39ba2c9d8163d7e3d10bd184e987e68a05d5d327e56903d2f0bb2a3482db2a61
MD5 85f1dd5679eb1c1f8031a762fc33cf15
BLAKE2b-256 a8e2c716d90d767896857a91dbb97ec1090adde3858e9203613c68a7158b5bae

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