Key | Value |
---|---|
FileName | ./usr/lib/x86_64-linux-gnu/cmake/dlpack/dlpackConfig.cmake |
FileSize | 1353 |
MD5 | A5A15C5824C0C8D04E7CC2B3CDC35D2F |
SHA-1 | E7017E28309C4D72BF77369681138564F285CAAD |
SHA-256 | 78FD6A17C7B87BDE6394B277AF03EF16682227921396220057DE20C43793277A |
SSDEEP | 24:73aKk6GFLDEZv6gkehgJXR2FZ1j5X0wQbG0qQqz2K5aG2cRtzW2v:7XGpwV6VehOh2FZXMbGrzbk2t3 |
TLSH | T1C62132B427991C608397D150729AB41F08C6547FBEB34840FA8FD29923DD1B05A833FA |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 6396 |
MD5 | DF2C2AB146DBE6A40C8DA1C495E1B42C |
PackageDescription | Open 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libdlpack-dev |
PackageSection | science |
PackageVersion | 0.0~git20200217.3ec0443-2 |
SHA-1 | 916CDD13C05AB3C16E3DE2182D5BD01EB1FC6DA8 |
SHA-256 | AAC8276FD3A3B6A10FD51E56603FB2C0FB5BFE72D00D70FA063FAC3E26CB2605 |
Key | Value |
---|---|
FileSize | 7080 |
MD5 | E29126A7D08C0572983AF9860A5D8953 |
PackageDescription | Open 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. |
PackageMaintainer | Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libdlpack-dev |
PackageSection | science |
PackageVersion | 0.6-1+b1 |
SHA-1 | F26F317CA709C2FB93ED5738A1F02A398139A3DC |
SHA-256 | 8EF8A805CB38C41FE174476333398064A81A7A430DF4B85CB699CA6747772FD1 |
Key | Value |
---|---|
FileSize | 6356 |
MD5 | 93B3F9FA3DB176127845B81A01243B31 |
PackageDescription | Open 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. |
PackageMaintainer | Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libdlpack-dev |
PackageSection | science |
PackageVersion | 0.0~git20200217.3ec0443-2 |
SHA-1 | C64BEEECAB8AE3C8CAFE4A51F4419B1F6D05B581 |
SHA-256 | 53D469C0CEF7E62BD216B42B8F6F8BC7712E12810D3A0C235ED70E136BBD0769 |