sci-ml/caffe2 (gentoo)

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Package Information

Description:
A deep learning framework
Homepage:
https://pytorch.org/
License:
BSD

Versions

Version EAPI Keywords Slot
2.9.1-r3 8 ~amd64 ~arm64 0
2.11.0-r1 8 ~amd64 ~arm64 0
2.10.0-r5 8 ~amd64 ~arm64 0

Metadata

Maintainers

Upstream

Raw Metadata XML
<pkgmetadata>
	<maintainer type="person">
		<email>tupone@gentoo.org</email>
		<name>Tupone Alfredo</name>
	</maintainer>
	<use>
		<flag name="cusparselt">Use the CUDA/HIP Sparse Matrix Multiplication</flag>
		<flag name="distributed">Support distributed applications</flag>
		<flag name="fbgemm">Use <pkg>sci-ml/FBGEMM</pkg></flag>
		<flag name="flash">Enable flash attention</flag>
		<flag name="gloo">Use <pkg>sci-ml/gloo</pkg></flag>
		<flag name="memefficient">Enable mem efficient attention</flag>
		<flag name="mimalloc">Use <pkg>dev-libs/mimalloc</pkg> as replacement for system malloc</flag>
		<flag name="mkl">Use <pkg>sci-libs/mkl</pkg> for blas, lapack and sparse blas routines</flag>
		<flag name="nnpack">Use <pkg>sci-ml/NNPACK</pkg></flag>
		<flag name="numpy">Add support for math operations through numpy</flag>
		<flag name="onednn">Use <pkg>sci-ml/oneDNN</pkg></flag>
		<flag name="openblas">Use <pkg>sci-libs/openblas</pkg> for blas routines</flag>
		<flag name="openmp">Use OpenMP for parallel code</flag>
		<flag name="qnnpack">Use QNNPACK</flag>
		<flag name="rocm">Enable ROCm gpu computing support</flag>
		<flag name="xnnpack">Use <pkg>sci-ml/XNNPACK</pkg></flag>
		<flag name="nccl">Use <pkg>dev-libs/rccl</pkg> (NCCL compatible) backend for distributed operations</flag>
	</use>
	<upstream>
		<remote-id type="github">pytorch/pytorch</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

Flag Description 2.9.1-r3 2.11.0-r1 2.10.0-r5
cuda Enable NVIDIA CUDA support (computation on GPU)
cusparselt Use the CUDA/HIP Sparse Matrix Multiplication
distributed Support distributed applications
fbgemm Use <pkg>sci-ml/FBGEMM</pkg>
flash Enable flash attention
gloo Use <pkg>sci-ml/gloo</pkg>
memefficient Enable mem efficient attention
mimalloc Use <pkg>dev-libs/mimalloc</pkg> as replacement for system malloc
mkl Use <pkg>sci-libs/mkl</pkg> for blas, lapack and sparse blas routines
mpi Add MPI (Message Passing Interface) layer to the apps that support it
nccl Use <pkg>dev-libs/rccl</pkg> (NCCL compatible) backend for distributed operations
nnpack Use <pkg>sci-ml/NNPACK</pkg>
numpy Add support for math operations through numpy
onednn Use <pkg>sci-ml/oneDNN</pkg>
openblas Use <pkg>sci-libs/openblas</pkg> for blas routines
opencl Enable OpenCL support (computation on GPU)
openmp Use OpenMP for parallel code
qnnpack Use QNNPACK
rocm Enable ROCm gpu computing support
xnnpack Use <pkg>sci-ml/XNNPACK</pkg>

Files

Manifest

Type File Size Versions
Unmatched Entries
Type File Size
DIST composable_kernel-7fe50dc3.tar.gz 5380728 bytes
DIST flash-attention-2.7.4.gh.tar.gz 5841323 bytes
DIST pytorch-2.10.0.tar.gz 62555251 bytes
DIST pytorch-2.11.0.tar.gz 63504636 bytes
DIST pytorch-2.9.1.tar.gz 55764697 bytes