Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	5837856
MD5	61DA7154C5E34436B09CC56316B7CA8A
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.7.1-7
SHA-1	09C214992CE51BC2CB9D517141E377DAFB3796AF
SHA-256	E23CCCF0338D1F1202BFFC23ADB74EF5F9DB5CAED00FAAF45542D236DBBD5110

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-pytorch-1.7.1-3-x86_64.pkg.tar.zst
MD5	9EB58CD005B160DA4876D3B3F8B3A40F
SHA-1	149470158511DCFC40BD85290F57B171F6A9A466
SHA-256	477FF0F69907AE80D7598702683F28405EB8B7F6E1A6AE3D21EEE02E35A393E4
SSDEEP	786432:x4eQeSrcjK9NFaUYiUyMJoScsNSQWYJzwv+YlSvklbr6m50BZk2x5coz8Z+ONQgx:ytmeQxJoScISD+YSvzy8m2x5pM+z+
TLSH	T1DED733B048B33179C776C56293DDBA1043B5CF28106120DBBDDBA44B3BED2B2679A5C9

Key	Value
MD5	31DB9855E51EEBA03B3DB42448ED336D
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp153.7.7
PackageVersion	1.5.1
SHA-1	29B93714AC929B47B92686AF7BE429B747ABB3F9
SHA-256	675A3BB0AB57AF6B4CF1F17F0B0F10158B734D9076AB5E2CE6A6136E1B7AA23F

Key	Value
MD5	91D42436C11A9C545E383823EC6E575D
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	2DCBCC0643BC260D886A69975796021438020D3B
SHA-256	049F5F9511BF52C61E15446761DF5E17B192C8984542B5A71D457E5627B4D221

Key	Value
MD5	35D3694568DFCB6711A22776821BAC0A
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp151.5.1
PackageVersion	1.5.1
SHA-1	3F8B09D13C33A7A1976033674F4B28DEB92BC823
SHA-256	31C9F585CE24936EA9973F98F84E514C55A07D9F15FCD994E5F2B099AA19DDC4

Key	Value
MD5	AB15BC753718C600B4437957FB392651
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	lp152.7.5
PackageVersion	1.5.1
SHA-1	45C319688DF834314655652B2D9E92ACD89BC900
SHA-256	55DF06FD049D49D3D09B7344A38E165C8D039CF6CB27F3776D1E31A03F33D460

Key	Value
MD5	10F192A7E9100D366E4DA02FE22253FE
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageName	python3-torch
PackageRelease	7.3
PackageVersion	1.5.1
SHA-1	460B429E141AD88F31518851B8A0D666DD26547D
SHA-256	C32C52FA1632AB0DA7670E3F3A1532F8DC2C8D36D286C1C0223A20E6BCF09904

Key	Value
MD5	B94C0471341A786C52100C671FA95ADE
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python310-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	4D770A48B4DB8D46F1832A503EFF02FC030554EA
SHA-256	FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34

Key	Value
FileSize	5503552
MD5	35F704B577348808BC6D3984F1EC4ED8
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.7.1-7
SHA-1	5984577BA4A2966A6E901807433C1EFCC07B2605
SHA-256	7D66EDEEB0A0AFB43F6B9325EE0D31B25F0120DC16205FDB8DCAC8718B633539

Key	Value
FileSize	6158296
MD5	A6E1336451C8BF9470AC3DA37472FEA8
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.7.1-7
SHA-1	5A72B1259D5189B69E856FD16D554A2F46253024
SHA-256	9A71E9F21F54F9DF072B497384731BCB29957C16323683DD75C783E8502DC922