Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1590008
MD5	A23094C66F78BD23919B95DF2FF95B30
PackageDescription	Open Neural Network Exchange (ONNX) (test data) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Initially onnx focuses on the capabilities needed for inferencing (evaluation). . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. Enabling interoperability between different frameworks and streamlining the path from research to production will increase the speed of innovation in the AI community. . This package contains the test data.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libonnx-testdata
PackageSection	science
PackageVersion	1.7.0+dfsg-1build1
SHA-1	2428B3C2B31703E3771FE916B13A0B53F7B20B58
SHA-256	882DEAFAB8DAC6EAD553CDC5EB731E1CA6E940D7612170762DFD2523585AAB86

Key	Value
MD5	EF2C611450005D453BC3935EF67BA304
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	lp150.3.2
PackageVersion	1.6.0
SHA-1	2B568070E4C6A69EC806F01353724EA4540FED59
SHA-256	7D2F7CB8C0B860A764BECDF6101899D73AAF6424654B0848B20C4B6D69195F32

Key	Value
FileSize	1581044
MD5	E63DB2CA2B2992E1A5E8AD9A836ABD16
PackageDescription	Open Neural Network Exchange (ONNX) (test data) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Initially onnx focuses on the capabilities needed for inferencing (evaluation). . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. Enabling interoperability between different frameworks and streamlining the path from research to production will increase the speed of innovation in the AI community. . This package contains the test data.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libonnx-testdata
PackageSection	science
PackageVersion	1.7.0+dfsg-3build1
SHA-1	30CDDB0286DFEBE94840415FBC6F601DF9F88E0A
SHA-256	BBCFB8B2F65913732C81B9CF20636F627AED1D42EA1E7AE6ED4E51245F9F70D1

Key	Value
MD5	86FB1BE86E57C54AF6262D4E7D2AF4C9
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	2.113
PackageVersion	1.8.1
SHA-1	37EBC54D3C428044AB8218D8E67B5CD65AF1D240
SHA-256	5B7D2783BC22F5AA80D060CAF404F287BFCFA68287A1FE2AD038EBEC6B6FD2DE

Key	Value
MD5	3D24FA6CD4AA40119C15188AEA7C80BA
PackageArch	i586
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	6.4
PackageVersion	1.6.0
SHA-1	41A30FA8DD2137FFFCD5A7881601D57FDAAEDA3D
SHA-256	6A5FF53DBFAEA135330A29B505A75077864B70B89310C3ED041BE5D442843E57

Key	Value
MD5	D94ADCD2FFACF30F3294D77E21B45729
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	2.83
PackageVersion	1.8.1
SHA-1	442E09E88FF7C4220EFF6E1B7E3A5218FDAA0496
SHA-256	ECE8556CD8081B282ABCC5F3C3FDBE3E4B068400AA379DAA92B201DDEB68CFC2

Key	Value
MD5	4968FBDE3FAADCE4D785DB8019E3BA23
PackageArch	i586
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-onnx
PackageRelease	1.10
PackageVersion	1.8.1
SHA-1	527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE
SHA-256	B161199B6B4B874CC5564379D12DE2FC460B2F57BF6BD0300BC4B381C8D56112

Key	Value
MD5	35AAFE7A0DCCFA7F8F6189B6B3C876D2
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	2.1
PackageVersion	1.10.2
SHA-1	5B52B103DBA99AEA718AB167AF1B3A638FD50D31
SHA-256	9FBB7BE8FD2AE4C6B0C241618F5046004A19BC300F502B170490169CF557A63C

Key	Value
MD5	6138B6E62A7410622A27E2471417AEAD
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-onnx
PackageRelease	bp154.1.42
PackageVersion	1.6.0
SHA-1	5C8CF6D993457721F434D875F10CCFA6252415B9
SHA-256	B9320C317A435E5E6C965809B1F9933CFDC13875C1106F20E6AF396C91CDB402

Key	Value
MD5	65D0610FCB63F5A1E53C27C537F70195
PackageArch	x86_64
PackageDescription	Open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageName	python3-onnx
PackageRelease	2.1
PackageVersion	1.10.2
SHA-1	5D56DED06D1897BDA8F6E939FBF3F243BE3E98F2
SHA-256	7DF1A4E72F93EAE68458CB14D38745888090A23E3EDB4EE7E9E3956A12EC3374