Skip to main content

XMOS AI Tools

Project description

Documentation

Click here for documentation on using xmos-ai-tools to deploy AI models on xcore.

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.

xmos_ai_tools-1.3.2.dev248-py3-none-win_amd64.whl (33.5 MB view details)

Uploaded Python 3Windows x86-64

xmos_ai_tools-1.3.2.dev248-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.6 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

xmos_ai_tools-1.3.2.dev248-py3-none-macosx_10_15_universal2.whl (57.8 MB view details)

Uploaded Python 3macOS 10.15+ universal2 (ARM64, x86-64)

File details

Details for the file xmos_ai_tools-1.3.2.dev248-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev248-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 a59a7b0dcbf0073fc32729d6d394689d43f73ee692c0554e03efda7e0db00058
MD5 ca26b509f91b2f0e6f1aeb9c4ff1ac2c
BLAKE2b-256 c7367429c2a892ae74dae7fa10c6bbc01a1e41573b1a984cd593e3d58574d49e

See more details on using hashes here.

File details

Details for the file xmos_ai_tools-1.3.2.dev248-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev248-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b5ca7da410f4cd16008364e0ee3331d62a59e7803a5b4c03cbd82281c093392d
MD5 e8e48f685102a33aceaedab2cbcdeed5
BLAKE2b-256 8c4ffedf278775a4735b139661e26f6afa7ac48eae0ab9fcc934dc184f927291

See more details on using hashes here.

File details

Details for the file xmos_ai_tools-1.3.2.dev248-py3-none-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev248-py3-none-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 bafd02f3cf9c7b40661b92c834f195531aaf500ec4beec6cc0439c5742d035bf
MD5 112b51b1bfe708ba48bc05f13741f911
BLAKE2b-256 31bc07cb77b1cef91c2785a5416b650d46747b5663d70fa9bf9a1d7c1f03df6c

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