Skip to main content

TensorFlow acceleration for Mac GPUs.

Project description

Metal plugin for TensorFlow (tensorflow-metal) uses PluggableDevice interface to accelerate training with Metal on Mac GPUs.

Project details


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.

tensorflow_metal-0.1.1-cp39-cp39-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8macOS 11.0+ x86-64

tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

File details

Details for the file tensorflow_metal-0.1.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: tensorflow_metal-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for tensorflow_metal-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f13e282e4353f773eaa633ce4a0284404aee86701688b28c62eff6751d40f5b
MD5 e3aa67cb6ef8286d5864e657a17f3502
BLAKE2b-256 fe27855103d64e3f2df2794473de5c7af3d89abef79959b4defa4213a015eada

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.8, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.10

File hashes

Hashes for tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5ae9dcee50e3fd31405d4651b63057f9828fe61872a9786d5aba8eaf36dd296c
MD5 272686798dc3dbf4ac7a9d5b0608d95a
BLAKE2b-256 98721bc8cfb891fef15bf2223651b087b0a5425efd554120d610ca2218ba73b5

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 651c5ec97c3438fac11d430976bb4b31215cdd73c2b4bbd9c0a8fe723283eb41
MD5 22773359ba12c9191d072393bf42e9d1
BLAKE2b-256 0fd728095ca3fd6a168fb3987ab3d875f22a9cb5d3ef7e0767c545cee1c7e777

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