Skip to main content

TensorFlow acceleration for Mac GPUs.

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


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-0.7.1-cp310-cp310-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10macOS 12.0+ x86-64

tensorflow_metal-0.7.1-cp310-cp310-macosx_12_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9macOS 12.0+ x86-64

tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

tensorflow_metal-0.7.1-cp38-cp38-macosx_12_0_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8macOS 12.0+ x86-64

tensorflow_metal-0.7.1-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-0.7.1-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 6206a34065146ec242965161b8f90ddfc32d47024c138c58f5796591f7c61f47
MD5 b6784691ce67c7b76c9e6d8cf5d36cb0
BLAKE2b-256 b6f1796a6a9996f481c1b753087bae5e09fc2872c625f03778cd7d8fe9ace836

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.7.1-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ebd433d54c78eff6d98df99e6f3c9ad8c81bd6c015a822904a2cbfdc74b59ce1
MD5 5d93b005f9f38e8510bdb44ff40fcb12
BLAKE2b-256 e6075f4ab135894225884e88bef51c93e64e0958dbacf7811bb3dcaee270fe90

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 bfcb63e4688937d02fc0bf82f6384f1ee1dd922e1dd38fd3467abd922dfae958
MD5 b31439501a2adcbe3af5480bbb1c8362
BLAKE2b-256 3e269d5ad7ff877fe0e006529d3860f78c9c2a848cd47dca54dfaacd011b1959

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 c91f7957e76f2d24f3ecd7e8ddc62c917ded5489ef954c3aa174a8516d5c655d
MD5 d4998ddb09653cfb7a3d50d851fbf2c0
BLAKE2b-256 cf4dc39ef716346feaa7452b9ef033b29485f8f55de4f970bcdcc77ffc1a1cb1

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.7.1-cp38-cp38-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 0e250e34a971a9e243e63366f9fdb21b28049b52561f4f219a60439c831ef945
MD5 fa0ed3ae280a2446b45daf6006708799
BLAKE2b-256 17b3205c462b72de64457f74bd951ae81a21c44badd4c04aabe56b2b282f73a5

See more details on using hashes here.

File details

Details for the file tensorflow_metal-0.7.1-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_metal-0.7.1-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a6a5d02714602d5c7096a33b9a5f28f92a135b6861b5646504fed3e40de27bb5
MD5 a62001bef6f5cc1960be61460bed8eb3
BLAKE2b-256 3870251e74f3ebc6240764871311dcda326482da281877f4dca6ed169d5920c6

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