Result for 9C54B80B10F3E859FEF38F43EA4BDBBD0ED16481

Query result

Key Value
FileName./usr/share/doc/libdlpack-dev/changelog.Debian.gz
FileSize327
MD5EA808453B701A450DBDD1E256ED99269
SHA-19C54B80B10F3E859FEF38F43EA4BDBBD0ED16481
SHA-256D681136B687D6937FB7BD1D9B08EECED92CD11D193C129D1299A6F1CBDC4AAD3
SSDEEP6:XtnGd2l7f+ghvDqT8dLDT9cX+MEIzd4vo34pGZgGKURD6j1UvF8ACF8a/:X9DPqT8ZTbYzd4gop8gGpmJkF8fqa/
TLSHT1EDE078D44DF1325E44D175D1537707D42D5E55CD61153FDA3940CC997005C4785AB47F
hashlookup:parent-total9
hashlookup:trust95

Network graph view

Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize7068
MD582232B5B34179A293C04FFA126A348EA
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-1290DC8B80510067FEBFDCD6E81E83F57A0AECDD3
SHA-256E889ED7FEC62F52C340B53E87626F8D95BE1F0B9A674BA1C2E5672119C7C30D2
Key Value
FileSize7092
MD5CC441BFA808FC70BF3CA511143034B26
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-17229C7161E19EC3AFE4AE71E530E0FCBCED0DD0D
SHA-25627C95D3F35835633D2EBBD0295184131AA62DE145137C106B3347A04D1BABE60
Key Value
FileSize7072
MD55956C29D7EC10F5B3EA3AAE07F2EE553
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-162D3E8F5F0F2B20B214CCDE98C4F5601AC17E608
SHA-2567393BD8595328B49AC67764D718D9FE6DB8A943B68D0F57C43B7BB56A2600155
Key Value
FileSize7064
MD5BD1FC769EFDCE940358381EFF1BB90B4
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-1F19347CFFFC7DE9F6CEE5BEC6B821CFB437DEF5E
SHA-256A955AC951AB274990479474AACEEE9A113D4D9F5D07F2369DA6AF9F85BC6E704
Key Value
FileSize7076
MD5353F70E50BFF9123407A6DE01810C667
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-141B0DC9F55E5CE37958E0F6BE653AD103649EED1
SHA-256797D9B1C2FE1A3C11B6C910E5342E12D81DCF27FBD9479C464B3042FD119718D
Key Value
FileSize7092
MD563E984CE97E2F9B1F293C965B5BFF597
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-1093EAAC2DD932A24A4BB40492C464C06EC981F38
SHA-256E0D33587E4DA87F77BF78E327F19591EBDC71B1FFC22160F4690EB10D3FBF594
Key Value
FileSize7064
MD5ADC59C55D1F2C04350B26B911C2C2E22
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-1B09DB0B5F82F6CA55EE712FE02ABF1C836C70E14
SHA-2563EC59929CC56768D9B87CFB372489D85EEEAE88FACED50C037E2DFF8813FFE4E
Key Value
FileSize6812
MD5D99C82BB07463753B015B833465C0F0F
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1
SHA-180B4FD317857099C027C7036636664BAD3D6F8CE
SHA-256163FFF4B35EFC00920EF637827488218D45E0B0440BD2F803951F10FD27B87E1
Key Value
FileSize7080
MD5E29126A7D08C0572983AF9860A5D8953
PackageDescriptionOpen In Memory Tensor Structure DLPack is an open in-memory tensor structure to for sharing tensor among frameworks. DLPack enables . * Easier sharing of operators between deep learning frameworks. * Easier wrapping of vendor level operator implementations, allowing collaboration when introducing new devices/ops. * Quick swapping of backend implementations, like different version of BLAS * For final users, this could bring more operators, and possibility of mixing usage between frameworks. . DLPack do not intend to implement of Tensor and Ops, but instead use this as common bridge to reuse tensor and ops across frameworks.
PackageMaintainerDebian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdlpack-dev
PackageSectionscience
PackageVersion0.6-1+b1
SHA-1F26F317CA709C2FB93ED5738A1F02A398139A3DC
SHA-2568EF8A805CB38C41FE174476333398064A81A7A430DF4B85CB699CA6747772FD1