Result for 0000CBC768E344B26D76169309DA4AA963DE56F8

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.10/site-packages/torch/include/caffe2/sgd/lars_op.h
FileSize2479
MD50F38F138A4A99F2082FFB4540420F4C7
SHA-10000CBC768E344B26D76169309DA4AA963DE56F8
SHA-25692028FCC2AE317D15BB54D4D7C28321D7EB92BF7EDEB7D850B0DFCBBA4C1219C
SHA-512758B0683FFA87CFC7706B5CA082BB95847DFD0C26F5C6BFD988EF77A99DF314B5AA13E53F12FFBCB7DB74F6EA7736A89AA72577D5468FD8EE69AF6BC13249A3B
SSDEEP48:E0qtzCrmeSe0uQJY91qfiwWqHqaDOTnhG1qytXf9nJwW+BSn:E0qtzCqeGY9gxKnhQqytXf9nJiIn
TLSHT14751D061266E2620A339A3E8BF5731016B41A00B7F15E2A57DCC877BBFC824D937D391
insert-timestamp1727033134.1894078
mimetypetext/x-c++
sourcesnap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4
tar:gnameroot
tar:unameroot
hashlookup:parent-total46
hashlookup:trust100

Network graph view

Parents (Total: 46)

The searched file hash is included in 46 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1341316
MD5B169265CAE542C0A4F6A61C77FD046E6
PackageDescriptionTensors 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 (Development files).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamelibtorch-dev
PackageSectionlibdevel
PackageVersion1.7.1-7
SHA-1004FBC854EA6F93E0CFBBDE55365EAB7E322731E
SHA-256FA62DC41CC628C61F53296EF340467415C527543E2C65693D916B0B004FA5B56
Key Value
FileSize1401288
MD54F6D47EF6441955952A611C40C044A1A
PackageDescriptionTensors 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 (Development files).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamelibtorch-dev
PackageSectionlibdevel
PackageVersion1.8.1-2
SHA-106271BB87407681DFAA754EB092FD2D6D1B2D1DB
SHA-256E713E595FD4B8049D7690947C5DED6E0AE713DABC293C83F6478E2A0AA87E394
Key Value
MD5FD42B2A08C4447A71EF9B4265F96E4B7
PackageArchx86_64
PackageDescriptionAlthough the Python interface is more polished and the primary focus of development, PyTorch also has a C++ frontend. This package contains the header to access the C/C++ interface.
PackageNamepython3-torch-devel
PackageReleaselp153.7.7
PackageVersion1.5.1
SHA-1092FF98A45D9255A3DB1A0BF467571ECA5D07935
SHA-256E7FCE7510F19714750261993EFAB4BC392051AF3BC4598855A513FE34B982452
Key Value
SHA-10E452A436077504044162BF80B4B0BCBD4F099B7
snap-authoritycanonical
snap-filenameXpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6.snap
snap-idXpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6
snap-namegate
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-10-06T20:00:39.363816Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6.snap
Key Value
FileSize1341116
MD5EFC1322821C9C3606ACA0E5D8987B2E8
PackageDescriptionTensors 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 (Development files).
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamelibtorch-dev
PackageSectionlibdevel
PackageVersion1.7.1-7
SHA-1106C18327482448E7BB3B6CF56186B228E7BBA71
SHA-256B58A4869D26E573C169348EA26E52DF64D7E436F4271BF44391E07F80AF09A17
Key Value
SHA-1113C3FCD6016A104E0FE1F6644C5E0D8A7B34ED9
snap-authoritycanonical
snap-filenameXpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7.snap
snap-idXpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7
snap-namegate
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-10-06T20:00:39.363816Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7.snap
Key Value
SHA-11341D5F609E902191E39372AE258788D3754801C
snap-authoritycanonical
snap-filenamezBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap
snap-idzBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11
snap-nameargos-translate
snap-publisher-idJekjha002c3lNU2gyMR4NLFdd1AC6JeW
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-02-02T13:37:28.172106Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//python-pytorch-1.7.1-3-x86_64.pkg.tar.zst
MD59EB58CD005B160DA4876D3B3F8B3A40F
SHA-1149470158511DCFC40BD85290F57B171F6A9A466
SHA-256477FF0F69907AE80D7598702683F28405EB8B7F6E1A6AE3D21EEE02E35A393E4
SSDEEP786432:x4eQeSrcjK9NFaUYiUyMJoScsNSQWYJzwv+YlSvklbr6m50BZk2x5coz8Z+ONQgx:ytmeQxJoScISD+YSvzy8m2x5pM+z+
TLSHT1DED733B048B33179C776C56293DDBA1043B5CF28106120DBBDDBA44B3BED2B2679A5C9
Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//python-pytorch-cuda-1.8.0-2-x86_64.pkg.tar.zst
MD563EA6C61AE7B7A6ACF5CD6E6DCCE9682
SHA-11631AC86E206C6ACF23A26A9CAF591BB3F6E3A74
SHA-2568684C18DE974582C9C06512BF6B0CEB4CEACDC97375A86200BC32F4715703A7A
SSDEEP6291456:CDRqb2D/B1PyJSSpHvR23nZv/rc3EVYARaR/gQITFwx5dCKHNPHDZQQ5CRki4kZC:CNz1wDpHvgp7ZYsaBgQITOx5dCIPDZdL
TLSHT1AD0933D1A9A5CE7AC134507BFBAA9F8C71E1C0F1231812327744F43ED88AADED255D4A
Key Value
MD5DB01DF27D642EA4E490791B7F56F765A
PackageArchx86_64
PackageDescriptionAlthough the Python interface is more polished and the primary focus of development, PyTorch also has a C++ frontend. This package contains the header to access the C/C++ interface.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-torch-devel
PackageRelease6.3
PackageVersion1.5.1
SHA-11A44FD798C2BCC716D768BCFC2E0F4D0A90BFA65
SHA-25664166F8060861BC69329AD84EC89CF8921F69783BE97F44214EDB1EA9CFDBEEE