Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1585B239A24DFA4DA06DB9C05AB95C98
PackageArch	x86_64
PackageDescription	This package contains the development headers for gau2grid.
PackageMaintainer	Fedora Project
PackageName	gau2grid-devel
PackageRelease	4.fc33
PackageVersion	1.3.1
SHA-1	8B5071C98DF98E8ADD1391A638747E777AB10D7F
SHA-256	0040497DE4EBE357DDFEEEAAC1CEC6309F17625E4379C89F3EBD866A1FAC20AB

Key	Value
MD5	419FF6813A6AA2FC9069DD18948F7842
PackageArch	x86_64
PackageDescription	This package contains the development headers for gau2grid.
PackageMaintainer	Fedora Project
PackageName	gau2grid-devel
PackageRelease	2.fc32
PackageVersion	1.3.1
SHA-1	E5F3D033E4C3822B9729F37578D8306D1813B5D8
SHA-256	40BE9AADCF50B40B2D2575145CC10C8646956649BB4565C8F9B6A8A968AC10EC

Key	Value
MD5	1FAEA4825B12A64653E845E5A8C46C11
PackageArch	x86_64
PackageDescription	The libadwaitaqt-devel package contains libraries and header files for developing applications that use libadwaitaqt1.
PackageName	libadwaitaqt-devel
PackageRelease	lp152.24.1
PackageVersion	1.3.1
SHA-1	9DDC38D5DBC616B13BB0A1A35CC09E092BDCF3BA
SHA-256	09139F03F8F01F438C14288577B2C0653010330248396DDBA557830B211A97A3

Key	Value
MD5	6146071D7E10C6121404EDF9AF54335D
PackageArch	aarch64
PackageDescription	This package contains the development headers for gau2grid.
PackageMaintainer	Fedora Project
PackageName	gau2grid-devel
PackageRelease	2.fc32
PackageVersion	1.3.1
SHA-1	9FDDB6165C3C6E153628101E3854A97017C76FE6
SHA-256	FB15799154673F541621B301CD4B076F076FAA7971031051B2A86889BDCBDB55

Key	Value
MD5	7BA669C30078A6FE9312352DD539CA46
PackageArch	x86_64
PackageDescription	The libadwaitaqt-devel package contains libraries and header files for developing applications that use libadwaitaqt1.
PackageName	libadwaitaqt-devel
PackageRelease	lp153.25.1
PackageVersion	1.3.1
SHA-1	D4DA7751C3B4376CB86E45E82FA6C6389D613EF3
SHA-256	80BC816F5F0D0B79664294DC366B8146B443E47CE9461E071F4D35A7CEC86A1B

Key	Value
FileSize	27332
MD5	80BB524134058C645CB541718A363335
PackageDescription	Factory library to generate DPU target description file (develop) A factory to manage Deep learning Processing Unit (DPU) target description infos. Register targets and then you can get infos by name or fingerprint. . This package provides the development environment for target-factory.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libtarget-factory-dev
PackageSection	libdevel
PackageVersion	1.3.2-1+b1
SHA-1	CD7963FAFC31F7446ACDE2922D3040FFB25F88AC
SHA-256	7BCB0DA02E78AA1489421EF413039723F58C9855CFBB6C1CAD585BC07D38FD46

Key	Value
FileSize	27292
MD5	EA72968731E0088385EE8D6DC79D581F
PackageDescription	Factory library to generate DPU target description file (develop) A factory to manage Deep learning Processing Unit (DPU) target description infos. Register targets and then you can get infos by name or fingerprint. . This package provides the development environment for target-factory.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libtarget-factory-dev
PackageSection	libdevel
PackageVersion	1.3.2-1+b1
SHA-1	55B74AF742BD2B960BF25BB7EAD6A7228E18B276
SHA-256	01796D430C3B0AF1AE9FE918022669273B9EA81D07860712E6D9E6C2F52DFD2B

Key	Value
FileSize	27320
MD5	2A332321979046CF266CE0871EB1BBEE
PackageDescription	Factory library to generate DPU target description file (develop) A factory to manage Deep learning Processing Unit (DPU) target description infos. Register targets and then you can get infos by name or fingerprint. . This package provides the development environment for target-factory.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libtarget-factory-dev
PackageSection	libdevel
PackageVersion	1.3.2-1+b1
SHA-1	A664FB0E6258CF673B6F43DB71455ABAEE37218A
SHA-256	71036370D1FF75CEC602AD7284A3D902A4012AB72DB0B4B2CBAED0913C2A980A

Key	Value
FileSize	27316
MD5	7ADA0E51C8AB3065A08795F9D117FD17
PackageDescription	Factory library to generate DPU target description file (develop) A factory to manage Deep learning Processing Unit (DPU) target description infos. Register targets and then you can get infos by name or fingerprint. . This package provides the development environment for target-factory.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libtarget-factory-dev
PackageSection	libdevel
PackageVersion	1.3.2-1+b1
SHA-1	8DEA6361DC95C548ED8661B8BAF9A512919AF038
SHA-256	B0EFD11FEA99B2CE04504FC954DF04172518FFF01F04C105AE71A630855E01BC

Key	Value
MD5	4469199C8D4CA41C8CD113CC221FA6E6
PackageArch	aarch64
PackageDescription	This package contains the development headers for gau2grid.
PackageMaintainer	Fedora Project
PackageName	gau2grid-devel
PackageRelease	4.fc33
PackageVersion	1.3.1
SHA-1	826E025F8DEC72A9A4CABF8984ECE698DFFF104F
SHA-256	465858027FFCF0B8B6B9C0373A5A22503FCA23455E035836984AED5527B7FB1A

Key	Value
FileSize	17396
MD5	3A96DC102098768170E1637348AF93DD
PackageDescription	Xilinx Intermediate Representation (XIR) for deep learning algorithms (develop) Xilinx Intermediate Representation (XIR) is a graph based intermediate representation of the AI algorithms which is well designed for compilation and efficient deployment of the Domain-specific Processing Unit (DPU) on the FPGA platform. Advanced users can apply Whole Application Acceleration to benefit from the power of FPGA by extending the XIR to support customized IP in Vitis AI flow. . XIR includes Op, Tensor, Graph and Subgraph libraries, which providing a clear and flexible representation for the computational graph. For now, it's the foundation for the Vitis AI quantizer, compiler, runtime and many other tools. XIR provides in-memory format, and file format for different usage. The in-memory format XIR is a Graph object, and the file format is a xmodel. A Graph object can be serialized to a xmodel while the xmodel can be deserialized to the Graph object. . In the Op library, there's a well-defined set of operators to cover the wildly used deep learning frameworks, e.g. TensorFlow, Pytorch and Caffe, and all of the built-in operators for DPU. This enhences the expression ability and achieves one of the core goals of eliminating the difference between these frameworks and providing a unified representation for users and developers. . XIR also provides a Python APIs which is named PyXIR. It enables Python users to fully access XIR and benefits in a pure Python environment, e.g. co-develop and integrate users' Python project with the current XIR based tools without massive dirty work to fix the gap between two languages. . This package provides the development environment for XIR.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libxir-dev
PackageSection	libdevel
PackageVersion	1.3.2-1
SHA-1	2A88486F4FAF700028A887D157013A954287B836
SHA-256	3B898ED22D9FAC3566F9E2368380F26F8D65458AEF6A1F355E9A6EC9672E1C28

Key	Value
FileSize	27296
MD5	1FDD553C6AD89D637515B6D71A19A909
PackageDescription	Factory library to generate DPU target description file (develop) A factory to manage Deep learning Processing Unit (DPU) target description infos. Register targets and then you can get infos by name or fingerprint. . This package provides the development environment for target-factory.
PackageMaintainer	Punit Agrawal <punit@debian.org>
PackageName	libtarget-factory-dev
PackageSection	libdevel
PackageVersion	1.3.2-1+b1
SHA-1	E931305DF1D2072156C5B9E23DE4273C8B45AD41
SHA-256	AC4DF05E970E638C19559186EB23DF2884EFE198EF2852AD410F8F57033A6B50