Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/torch/include/torch/csrc/MemoryFormat.h |
FileSize | 547 |
MD5 | 5D151F8659BB7FDA8D5FF101E5426008 |
SHA-1 | 024F634039EDF3EC2E157808E1104A1B2A8341A1 |
SHA-256 | ABB530E149557023BDC6F58F8BB4510756E5FA3DBA13C85B4A52E79CEFD535F5 |
SHA-512 | B8C5A6F182E78CCF6AB6D4D194253739BCA39E096C6E395C6511955608E4E39F00EFFEFECFC6935A13E861DFCE2CFF647C4E516BB2E6E77ACAF0A80DD38C1BE0 |
SSDEEP | 12:l/ZAiKAcvAqMKLo/6SgBoWIT3lyv6FgApWvvSF+c0iW4WwQT3aFUerBcWixV:lRktu/Fl88Bb+cnv+aFHVcXxV |
TLSH | T173F08BC1647EEE9802E11CDEE5909C069F14C02051987DB3B4A6F0D0A04BED8943E329 |
insert-timestamp | 1727020059.4133563 |
mimetype | text/x-c |
source | snap:gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 42 |
hashlookup:trust | 100 |
The searched file hash is included in 42 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 1341316 |
MD5 | B169265CAE542C0A4F6A61C77FD046E6 |
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 (Development files). |
PackageMaintainer | Debian Deep Learning Team <debian-ai@lists.debian.org> |
PackageName | libtorch-dev |
PackageSection | libdevel |
PackageVersion | 1.7.1-7 |
SHA-1 | 004FBC854EA6F93E0CFBBDE55365EAB7E322731E |
SHA-256 | FA62DC41CC628C61F53296EF340467415C527543E2C65693D916B0B004FA5B56 |
Key | Value |
---|---|
FileSize | 1401288 |
MD5 | 4F6D47EF6441955952A611C40C044A1A |
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 (Development files). |
PackageMaintainer | Debian Deep Learning Team <debian-ai@lists.debian.org> |
PackageName | libtorch-dev |
PackageSection | libdevel |
PackageVersion | 1.8.1-2 |
SHA-1 | 06271BB87407681DFAA754EB092FD2D6D1B2D1DB |
SHA-256 | E713E595FD4B8049D7690947C5DED6E0AE713DABC293C83F6478E2A0AA87E394 |
Key | Value |
---|---|
MD5 | FD42B2A08C4447A71EF9B4265F96E4B7 |
PackageArch | x86_64 |
PackageDescription | Although 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. |
PackageName | python3-torch-devel |
PackageRelease | lp153.7.7 |
PackageVersion | 1.5.1 |
SHA-1 | 092FF98A45D9255A3DB1A0BF467571ECA5D07935 |
SHA-256 | E7FCE7510F19714750261993EFAB4BC392051AF3BC4598855A513FE34B982452 |
Key | Value |
---|---|
SHA-1 | 0E452A436077504044162BF80B4B0BCBD4F099B7 |
snap-authority | canonical |
snap-filename | XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6.snap |
snap-id | XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6 |
snap-name | gate |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2021-10-06T20:00:39.363816Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_6.snap |
Key | Value |
---|---|
FileSize | 1341116 |
MD5 | EFC1322821C9C3606ACA0E5D8987B2E8 |
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 (Development files). |
PackageMaintainer | Debian Deep Learning Team <debian-ai@lists.debian.org> |
PackageName | libtorch-dev |
PackageSection | libdevel |
PackageVersion | 1.7.1-7 |
SHA-1 | 106C18327482448E7BB3B6CF56186B228E7BBA71 |
SHA-256 | B58A4869D26E573C169348EA26E52DF64D7E436F4271BF44391E07F80AF09A17 |
Key | Value |
---|---|
SHA-1 | 113C3FCD6016A104E0FE1F6644C5E0D8A7B34ED9 |
snap-authority | canonical |
snap-filename | XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7.snap |
snap-id | XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7 |
snap-name | gate |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2021-10-06T20:00:39.363816Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XpiEnfYSIFaQVlyocqjQrYw4y2atp8sL_7.snap |
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 |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-pytorch-cuda-1.8.0-2-x86_64.pkg.tar.zst |
MD5 | 63EA6C61AE7B7A6ACF5CD6E6DCCE9682 |
SHA-1 | 1631AC86E206C6ACF23A26A9CAF591BB3F6E3A74 |
SHA-256 | 8684C18DE974582C9C06512BF6B0CEB4CEACDC97375A86200BC32F4715703A7A |
SSDEEP | 6291456:CDRqb2D/B1PyJSSpHvR23nZv/rc3EVYARaR/gQITFwx5dCKHNPHDZQQ5CRki4kZC:CNz1wDpHvgp7ZYsaBgQITOx5dCIPDZdL |
TLSH | T1AD0933D1A9A5CE7AC134507BFBAA9F8C71E1C0F1231812327744F43ED88AADED255D4A |
Key | Value |
---|---|
MD5 | DB01DF27D642EA4E490791B7F56F765A |
PackageArch | x86_64 |
PackageDescription | Although 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-torch-devel |
PackageRelease | 6.3 |
PackageVersion | 1.5.1 |
SHA-1 | 1A44FD798C2BCC716D768BCFC2E0F4D0A90BFA65 |
SHA-256 | 64166F8060861BC69329AD84EC89CF8921F69783BE97F44214EDB1EA9CFDBEEE |
Key | Value |
---|---|
MD5 | D1D2D5CEF7813825D18876AF1EFD1B1B |
PackageArch | x86_64 |
PackageDescription | Although 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-torch-devel |
PackageRelease | bp153.1.19 |
PackageVersion | 1.4.0 |
SHA-1 | 2A18B559FB16ACE6C39AF4E4212A0A55A060CD40 |
SHA-256 | 20260CFF94103E824F8022FC889A7A853FD7CA2C6DE8F2B8B3019F79B993AE47 |