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Install

Install this package:

emerge -a sci-ml/kineto

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-ml/kineto

Or alternatively:

emerge --autounmask-write -a sci-ml/kineto

Package Information

Description:

part of the PyTorch Profiler

Homepage:

https://github.com/pytorch/kineto

License:

BSD

Versions

Metadata

Maintainers

• Tupone Alfredo (tupone@gentoo.org) - Type: person

Upstream

• Remote IDs:
  • github: pytorch/kineto

<pkgmetadata>
	<maintainer type="person">
		<email>tupone@gentoo.org</email>
		<name>Tupone Alfredo</name>
	</maintainer>
	<upstream>
		<remote-id type="github">pytorch/kineto</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'test' in ebuild 0.4.0_p20260323 is not documented in metadata.xml
• [Warning] USE flag 'test' in ebuild 0.4.0_p20250617-r2 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild kineto-0.4.0_p20260323
• [Error] Missing md5-cache for ebuild kineto-0.4.0_p20250617-r2

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/kineto | euse -E <flag> -p sci-ml/kineto | euse -D <flag> -p sci-ml/kineto

Files

• kineto-0.4.0_p20250418-AppxClock.patch
• kineto-0.4.0_p20250617-cmake.patch
• kineto-0.4.0_p20250617-gentoo.patch
• kineto-0.4.0_p20251121-gentoo.patch

Manifest