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SHA-256 | D681136B687D6937FB7BD1D9B08EECED92CD11D193C129D1299A6F1CBDC4AAD3 |
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hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
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 |
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FileSize | 7068 |
MD5 | 82232B5B34179A293C04FFA126A348EA |
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 | 290DC8B80510067FEBFDCD6E81E83F57A0AECDD3 |
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Key | Value |
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FileSize | 7092 |
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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 |
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FileSize | 7072 |
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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 |
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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 |
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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> |
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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> |
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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> |
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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> |
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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 |
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