Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/torch/include/caffe2/core/static_tracepoint.h |
FileSize | 398 |
MD5 | 19594BD05271BEEF2F3773F8F600B202 |
SHA-1 | 021AC5C680EFB77FCF0B95D3C85AE5EB28E1F312 |
SHA-256 | D1C7C0CC3A3C777AB3F37ECC7E5DEBC49D7FB316BC3D4B14F88F27B6B919BDC9 |
SHA-512 | 834C2C791C422A5761614CCECBDB562CC5E713316C593973F8249A949572DA03626DD5827B93E946E3266C9D14596188BE76284B7804DFE51F58A1FFCF84E07A |
SSDEEP | 6:2+/Tz0+afsj7B4+W4IAeRwJdcq0+LE/Z1sFCmhN1E3UVRE3UvGscq0+LEISHsvX2:l/c+UEG+SAeR1qggn0UVReUveqXG |
TLSH | T192E026501FE311805221103C1C1681768E42CDF7098B04FEB9EE886AAB4129407AADA6 |
insert-timestamp | 1727033133.7858913 |
mimetype | text/x-c |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 46 |
hashlookup:trust | 100 |
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 |
---|---|
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 |
---|---|
SHA-1 | 1341D5F609E902191E39372AE258788D3754801C |
snap-authority | canonical |
snap-filename | zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap |
snap-id | zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11 |
snap-name | argos-translate |
snap-publisher-id | Jekjha002c3lNU2gyMR4NLFdd1AC6JeW |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2021-02-02T13:37:28.172106Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.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 |