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-2.1.0b20220527-py3-none-manylinux2010_x86_64.whl (2.3 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

bigdl_nano-2.1.0b20220527-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-2.1.0b20220527-py3-none-manylinux2010_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220527-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-2.1.0b20220527-py3-none-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0c5e2b9329d500522083d811f5c7ab76f8c6bc2a043450583ca0df49f8940ea4
MD5 69c2bc028130c563b3596c19945d7a6f
BLAKE2b-256 075bf40169b605884438168ae4cc24c1f2166e60cbeae2dd3be2ce7369d75af8

See more details on using hashes here.

File details

Details for the file bigdl_nano-2.1.0b20220527-py3-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: bigdl_nano-2.1.0b20220527-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-2.1.0b20220527-py3-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 53c12398c1e09ed5223c82715184144b9c4d2c52198a7043a857bc77dcbfa197
MD5 1f4b819e71d6266aa3f301c9ca79a1d5
BLAKE2b-256 caa66d564f1e1a09dde9bd98f52e093d72c810c97147d2e1767e788bb4598231

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