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This repository has been archived by the owner on May 31, 2024. It is now read-only.
Is your feature request related to a problem? Please describe.
Would be nice to know the runtime performance of onnx-go compared with the other runtimes available. Here a list of some runtimes: https://onnx.ai/supported-tools
Describe the solution you'd like
Don't need to be nothing fancy, maybe a wiki page with some models being compared between the other implementations.
For some solutions, mainly edge, performance is really a key factor, this could be a really advantage to onnx-go because of the Go speed and concurrency. It will also highlight the parts we need to dedicate more effort to make it faster.
The text was updated successfully, but these errors were encountered:
I fully agree.
The key point is to compare against Microsoft's onnxruntime.
The goal of onnxruntime is similar: to run pre-trained neural network without pain.
Other comparisons are also interesting. For info, there is a trivial bench in the examples/model_zoo_executor that runs a model against whatever onnx model referenced by the $MODELDIR environment variable.
Is your feature request related to a problem? Please describe.
Would be nice to know the runtime performance of
onnx-go
compared with the other runtimes available. Here a list of some runtimes: https://onnx.ai/supported-toolsDescribe the solution you'd like
Don't need to be nothing fancy, maybe a wiki page with some models being compared between the other implementations.
For some solutions, mainly edge, performance is really a key factor, this could be a really advantage to
onnx-go
because of the Go speed and concurrency. It will also highlight the parts we need to dedicate more effort to make it faster.The text was updated successfully, but these errors were encountered: