TensorFlow acceleration for Mac GPUs.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dingshuhan from gravatar.com dingshuhan Avatar for jhavukainen from gravatar.com jhavukainen Avatar for kulinseth from gravatar.com kulinseth Avatar for skotapati from gravatar.com skotapati

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License. Copyright © 2020-2021 Apple Inc. All rights reserved.
  • Tags tensorflow , metal , plugin
Report project as malware

Project description

Accelerate training of machine learning models with TensorFlow right on your Mac. Install the base tensorflow (tensorflow-macos which is using TensorFlow v2.5) and the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs.

You can learn more about TensorFlow PluggableDevices [here](https://github.com/tensorflow/tensorflow/releases/tag/v2.5.0).

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dingshuhan from gravatar.com dingshuhan Avatar for jhavukainen from gravatar.com jhavukainen Avatar for kulinseth from gravatar.com kulinseth Avatar for skotapati from gravatar.com skotapati

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License. Copyright © 2020-2021 Apple Inc. All rights reserved.
  • Tags tensorflow , metal , plugin

Release history Release notifications | RSS feed

1.2.0

1.1.0

1.0.1

1.0.0

0.8.0

0.7.1

0.7.0

0.6.0

This version

0.5.1

0.5.0

0.4.0

0.3.0

0.2.0

0.1.2

0.1.1

0.1.0

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-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10macOS 12.0+ x86-64

tensorflow_metal-0.5.1-cp310-cp310-macosx_12_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9macOS 12.0+ x86-64

tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8macOS 12.0+ x86-64

tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.8macOS 12.0+ ARM64

File details

Details for the file tensorflow_metal-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 61f5d7d66443a0aee8b8af2156fef587fe09bbc4934e2d3e4b93ff137ced3f85
MD5 e9600d8808a9d63b191328d83b176a2e
BLAKE2b-256 7f17a2a2ac269e00032b722efbbbee2924f77d93857f2773edded9829faeeaec

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.5.1-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 2cac085a29154fbc133131688ae2a77b9854a1eef0384f5fb069e81b3ec6b89d
MD5 1451830bd34eb1a2c88060491b3f59e0
BLAKE2b-256 b74ab27965fbbbc34d16742fcb654202f319cd991ff74b220ae21d8d241e6cb4

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 d33491ab8bfce40df9d803d4c0ec6b6d4d56c26972b233f10686be8c7b80eaa0
MD5 9472e801453328433e8d073d4c29042d
BLAKE2b-256 7b895b5c4fccb5e751f6bf86b59b5cb4474878d6761f7706ff958f6acf5446f5

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 fe3ac70a44ca4448029b373e429650935b4c1e6b6a2046146845f6f97834910e
MD5 094914474648aeb275a298ff80f6c10f
BLAKE2b-256 a3e56e4b4739ca9d47653b5af1150bc283f519ff017a0d616d96ad0264654a91

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 64a20fecee7a5ca13e9180d56c80750bf08594d2e83f509b61c47aa804a219ec
MD5 cf8b2b2c01ff88e6d85ed7b502e4411f
BLAKE2b-256 8506f2558168c900af5af4840c9be4ff26bd9149d1c84963899da4fb17851665

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.5.1-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 7bc99331e700b53643a91d537d42152148d0f5c9190e175d9e3429904c842e1f
MD5 2826877517385382edd984b65272a96d
BLAKE2b-256 8284e7fd9d2cd1ae10c6ccdb7659cf78db463e880463a92e338fe80d55c37332

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