Result for 000AED43E7462529DFFB0A38C9F31A136E55A42D

Query result

Key Value
FileName./usr/share/libonnx-testdata/data/node/test_softmax_cross_entropy_mean/model.onnx
FileSize165
MD5BC2D8C37C551B196396987C3C7821BAA
SHA-1000AED43E7462529DFFB0A38C9F31A136E55A42D
SHA-25686335377C097E67556E7CB7F93EF8F1564779EE99B4AB7CCEDB32D9E30057534
SSDEEP3:ipHSm4WSX8NFWJukQbSsxkArWn6LaR6ANORc28md/Skc3v1tjXkfjvgNnjn:ipHS5XXObbkl6LaRr2vlGdto0Nj
TLSHT12AC0C08C44308A420F11530FB9510B0E1201BB0E121117CD1107640A1C1CD23049330C
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

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
FileSize1581044
MD5E63DB2CA2B2992E1A5E8AD9A836ABD16
PackageDescriptionOpen 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibonnx-testdata
PackageSectionscience
PackageVersion1.7.0+dfsg-3build1
SHA-130CDDB0286DFEBE94840415FBC6F601DF9F88E0A
SHA-256BBCFB8B2F65913732C81B9CF20636F627AED1D42EA1E7AE6ED4E51245F9F70D1
Key Value
FileSize1590008
MD5A23094C66F78BD23919B95DF2FF95B30
PackageDescriptionOpen 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibonnx-testdata
PackageSectionscience
PackageVersion1.7.0+dfsg-1build1
SHA-12428B3C2B31703E3771FE916B13A0B53F7B20B58
SHA-256882DEAFAB8DAC6EAD553CDC5EB731E1CA6E940D7612170762DFD2523585AAB86
Key Value
FileSize1685936
MD501FBA04AB1FD05366C47E2E31AE77E0E
PackageDescriptionOpen 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.
PackageMaintainerDebian Deep Learning Team <debian-ai@lists.debian.org>
PackageNamelibonnx-testdata
PackageSectionscience
PackageVersion1.7.0+dfsg-3
SHA-16661B5B9547A8E9FFE2A74867855D6C23273C510
SHA-25620FD7EF7AE495FFA64E9051CC9313EF521896878E558F693DC8EEAF1925766E6