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ONNX has evolved into much more than just a specification for exchanging models. Here's a breakdown of why:
ONNX Runtime: A highly optimized inference engine that executes ONNX models. This activel…
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NNEF to ONNX conversion failed.
python -m nnef_tools.convert --input-format nnef --output-format onnx --input-model /home/path/to/my/file/modeltoconvert --output-model minigraph.onnx
"NNEF model mus…
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I have created an example network in this repository to experiment with, where I created a simple feed-forward network and exported it to ONNX. After experimenting with ONNX, I believe we should not u…
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The Khronos group has developed a standard data exchange format for neural networks: https://www.khronos.org/nnef. The latest specification is available here: https://registry.khronos.org/NNEF/specs/1…
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The current charter states in its [out of scope](https://webmachinelearning.github.io/charter/#out-of-scope) section:
>This Community Group does not attempt to mandate a specific neural network or …
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I'm not too familiar with the model loading process but is it possible to use this library to load in different model formats (like h5) other than the provided .model extension?
P.S. amazing work o…
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Hi, I intend to use `tract` for inference with `AWS Lambda`. I've observed that the initialization and optimization of ONNX models (from &[u8]) can be 2-3 times slower than the actual model execution.…
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# Step 0: Preliminaries
* cancel chunk support
# Step 1: Replace Scan by Loop
* support ONNX Loop
* simplify (?) scan code by splitting to separate ops
* state management
* scan sli…
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Hey!
I realize this is realistically out of scope for `tract`, but I figured I'd ask anyways. For some background, we have a bit of a weird situation with some of our ML assets at Embark - we work …
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Related to the _The Lottery Ticket Hypothesis_, pruning allows to discard a large amount of parameters within a network [1, 2, 3, 4] without sacrificing model accuracy (depending on the amount of cour…