|
gptkbp:instanceOf
|
file format
interpreter
machine learning standard
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:machine_learning
gptkb:standard
|
|
gptkbp:developedBy
|
gptkb:Facebook
gptkb:Microsoft
|
|
gptkbp:enables
|
hardware acceleration
model optimization
cross-platform model deployment
|
|
gptkbp:fileExtension
|
.onnx
|
|
gptkbp:firstReleased
|
2017
|
|
gptkbp:fullName
|
gptkb:Open_Neural_Network_Exchange
|
|
gptkbp:github
|
https://github.com/onnx/onnx
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ONNX
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:logo
|
https://onnx.ai/assets/logo.svg
|
|
gptkbp:platform
|
gptkb:TensorFlow
gptkb:Chainer
gptkb:MXNet
gptkb:Caffe2
gptkb:Microsoft_Cognitive_Toolkit
gptkb:PyTorch
|
|
gptkbp:programmingLanguage
|
gptkb:Python
gptkb:Protobuf
gptkb:C++
C
|
|
gptkbp:relatedStandard
|
gptkb:MLIR
gptkb:OpenVINO
gptkb:TensorRT
gptkb:Core_ML
gptkb:ONNX-ML
gptkb:PMML
gptkb:TensorFlow_SavedModel
|
|
gptkbp:runtime
|
gptkb:ONNX_Runtime
|
|
gptkbp:serialization
|
gptkb:Protocol_Buffers
|
|
gptkbp:specifies
|
https://github.com/onnx/onnx/blob/main/docs/IR.md
|
|
gptkbp:standardizedBy
|
gptkb:Linux_Foundation_AI_&_Data_Foundation
|
|
gptkbp:supports
|
gptkb:machine_learning
deep learning
|
|
gptkbp:usedFor
|
model conversion
model export
model import
model interoperability
|
|
gptkbp:website
|
https://onnx.ai/
|
|
gptkbp:bfsParent
|
gptkb:artificial_intelligence
|
|
gptkbp:bfsLayer
|
4
|