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sci-ml/caffe2 (gentoo)

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Install

Install this package:

emerge -a sci-ml/caffe2

Package Information

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

Versions

Version EAPI Keywords Slot
2.12.0 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="kineto">Use<pkg>sci-ml/kineto</pkg>profiling library</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="nccl">Use <pkg>dev-libs/rccl</pkg> (NCCL compatible) backend for distributed operations</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="qnnpack">Use QNNPACK</flag>
		<flag name="rocm">Enable ROCm gpu computing support</flag>
		<flag name="xnnpack">Use <pkg>sci-ml/XNNPACK</pkg></flag>
	</use>
	<upstream>
		<remote-id type="github">pytorch/pytorch</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/caffe2 | euse -E <flag> -p sci-ml/caffe2 | euse -D <flag> -p sci-ml/caffe2

Flag Description 2.12.0
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> ✓
kineto Use<pkg>sci-ml/kineto</pkg>profiling library ✓
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 Build support for the OpenMP (support parallel computing), requires >=sys-devel/gcc-4.2 built with USE="openmp" ✓
qnnpack Use QNNPACK ✓
rocm Enable ROCm gpu computing support ✓
xnnpack Use <pkg>sci-ml/XNNPACK</pkg> ✓

Files

Manifest

Type File Size Versions
DIST composable_kernel-7fe50dc3.tar.gz 5380728 bytes 2.12.0
DIST flash-attention-2.7.4.gh.tar.gz 5841323 bytes 2.12.0
DIST pytorch-2.12.0.tar.gz 64740318 bytes 2.12.0
Unmatched Entries
Type File Size