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Install

Install this package:

emerge -a sci-ml/kineto

Package Information

Description:

part of the PyTorch Profiler

Homepage:

https://github.com/pytorch/kineto

License:

BSD

Versions

Metadata

Maintainers

• Ivan S. Titov (iohann.s.titov@gmail.com) - Type: person

Upstream

• Remote IDs:
  • github: pytorch/kineto

<pkgmetadata>
	<maintainer type="person">
		<email>iohann.s.titov@gmail.com</email>
		<name>Ivan S. Titov</name>
	</maintainer>
	<upstream>
		<remote-id type="github">pytorch/kineto</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'cuda' in ebuild 0.4.0_p20260925 is not documented in metadata.xml
• [Warning] USE flag 'test' in ebuild 0.4.0_p20260925 is not documented in metadata.xml
• [Notice] Package has only unstable keywords for arch(es): [ amd64, arm64 ], all versions are unstable: [ 0.4.0_p20260925 ]

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_p20260805-Werror.patch
• kineto-0.4.0_p20260925-gentoo.patch

Manifest