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.dev130-py3-none-win_amd64.whl (33.1 MB view details)

Uploaded Python 3Windows x86-64

xmos_ai_tools-1.3.2.dev130-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (60.9 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

xmos_ai_tools-1.3.2.dev130-py3-none-macosx_10_15_universal2.whl (57.3 MB view details)

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

File details

Details for the file xmos_ai_tools-1.3.2.dev130-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev130-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 c80d9a7212dd7ddca859e7ca0b625cbda42603d374a7cc8990884d85a72a9a0d
MD5 76a594b5d6fe4f809226cac1e45de3ce
BLAKE2b-256 cd31d22c24957899842e1caf17b6ac48bbb9be5ad20543aa752dbc6d77bcc805

See more details on using hashes here.

File details

Details for the file xmos_ai_tools-1.3.2.dev130-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev130-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e68256d1b9677bda6fa94d0498de7f222f2504f466948cde43df629a7208e830
MD5 e3b3e61d66591886dd458d65088f83f8
BLAKE2b-256 c3e50b8a78c855d3e5797510dafd142d4ed3c14e8cf806211b905081630e602e

See more details on using hashes here.

File details

Details for the file xmos_ai_tools-1.3.2.dev130-py3-none-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for xmos_ai_tools-1.3.2.dev130-py3-none-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 3f6447edabe54d3544850e81cf3d39703e0bfb49ec42484b0a83aad7953cc922
MD5 611901141c9ee1e5b6a70ce9d294e52e
BLAKE2b-256 76dbe0af9502e8485c0bf0e55a8082d050f8a627421cdd26851a2904282fd77e

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