Key | Value |
---|---|
FileName | ./usr/include/oneapi/dnnl/dnnl_threadpool.h |
FileSize | 4524 |
MD5 | A6CF6D1F1ED034C51F0A51AEDB96E7BA |
SHA-1 | 0CFCBA6396562858FC11F2B2E81A4A875974227C |
SHA-256 | 311C6D53AB9CBEB66014C0AC539241AD87DA4FD5125E68F577F108E1E0DE4D2A |
SHA-512 | 6A4F3819D69BC9C74FCCC01F187A7F75216EC19657D0C1D3398FA6D62D8BD3C7EE55D756E735D43F5C774D57624D57FA2BA182BB6DDA027435C5113A9FAEECA6 |
SSDEEP | 48:Z4Kd0+H31EvVyOYqIGQIePqGUMBeH/CHm+VzGzrVzGzKpy6zbC:Z46bHFEiIeLBekmqybC |
TLSH | T12C911126A7390DA15040BE83789E80C72643654CF5879B9CF03EF8651B0F9BAD0F59DB |
insert-timestamp | 1728248776.9791987 |
mimetype | text/x-c |
source | snap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936 |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
SHA-1 | B881FB5376662BCB90369AFBD965922E19B42CDB |
snap-authority | canonical |
snap-filename | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936.snap |
snap-id | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936 |
snap-name | root-framework |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-02-10T19:34:51.632505Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936.snap |
Key | Value |
---|---|
MD5 | A6370DFDA87F46F6F782DE37DF640AC8 |
PackageArch | x86_64 |
PackageDescription | Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an open-source performance library for deep-learning applications. The library accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces. This package includes the required headers and library files to develop software with the Intel MKL-DNN. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | onednn-devel |
PackageRelease | bp156.2.9 |
PackageVersion | 3.0.1 |
SHA-1 | C42DFBC758D168BA63426D9607633907B489A1D3 |
SHA-256 | A868EEDFDB0CB49F75326BC2A798136B0B71E3422D9E5208462A01746F2AD0A6 |
Key | Value |
---|---|
SHA-1 | 2EF15C7DAE4E9CA6A84505280AC1291CF0C915CA |
snap-authority | canonical |
snap-filename | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_931.snap |
snap-id | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_931 |
snap-name | root-framework |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-02-10T19:34:51.632505Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_931.snap |
Key | Value |
---|---|
MD5 | 40812A80E7636B3ADE29091AD323A76F |
PackageArch | x86_64 |
PackageDescription | Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an open-source performance library for deep-learning applications. The library accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces. This package includes the required headers and library files to develop software with the Intel MKL-DNN. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | onednn-devel |
PackageRelease | bp155.1.9 |
PackageVersion | 3.0.1 |
SHA-1 | 06C670235677EE3F025B05EA200CB1E663881424 |
SHA-256 | 86AC5F8F970740D077ECFDB8EB879C844FEC59991E86E75B001CB44DEBE1C121 |
Key | Value |
---|---|
SHA-1 | 76E1DB2BD3D344D61D2F67C90FB74FEBEFB9B711 |
snap-authority | canonical |
snap-filename | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_928.snap |
snap-id | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_928 |
snap-name | root-framework |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-02-10T19:34:51.632505Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_928.snap |