| Key | Value |
|---|---|
| FileName | ./usr/lib/s390x-linux-gnu/cmake/dlpack/dlpackConfig.cmake |
| FileSize | 1352 |
| MD5 | 5845F86294BC4B86D28D061813EE91A5 |
| SHA-1 | 0687415200D4026BAE2C741C85C3BEBE379AA74F |
| SHA-256 | A7B17749660CAF971D727F65AF104D5968F28BE1A4C02A1D9AD012EEE094900A |
| SSDEEP | 24:73aKk6GFLDEZv6gke5gJXR2FZ1j5X0wQbG0qQqz2K5aG2cRtzW2v:7XGpwV6Ve5Oh2FZXMbGrzbk2t3 |
| TLSH | T1032132B427991C608397C1507296B41F08C6547FBEB34440FA8FD28923DD1B05A833FA |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 6352 |
| MD5 | D4BC6FFA379BB4F5816A8AD537C70C9A |
| 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 | D5E6030C8D7C371B0D015007A36E44E2C2D030C1 |
| SHA-256 | 151C664E086E33D813CF567A528FE12922A9124E37CC2D23CE45B40CD4D8728E |
| Key | Value |
|---|---|
| FileSize | 7064 |
| MD5 | BD1FC769EFDCE940358381EFF1BB90B4 |
| 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 | F19347CFFFC7DE9F6CEE5BEC6B821CFB437DEF5E |
| SHA-256 | A955AC951AB274990479474AACEEE9A113D4D9F5D07F2369DA6AF9F85BC6E704 |