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* Put the onnx example behind a feature flag.
* Exclude the onnx bits from the workspace.
* README tweaks.
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* Add more models to the onnx example.
* Input validation.
* Input validation.
* Bugfix.
* Implement clip.
* BatchNorm support.
* Get the efficientnet onnx to work.
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* Do not generate values for constants.
* Add an onnx based example using squeezenet.
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* Better tensor initialization in ONNX.
* MaxPool support.
* Add AvgPool.
* Get the squeezenet example to work.
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* Refactor the onnx attribute getters.
* Add get-attr-opt.
* Add support for convolutions.
* Add support for convolutions.
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* Add LogSoftmax.
* Support for Transpose.
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* Generate some zeros tensor in the onnx simple-eval example.
* Fix the casting operation.
* Support more ops.
* Handle reshape.
* Concat.
* Softmax.
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* ONNX casting support.
* Handle tensor constants.
* Bugfix the binary ops.
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* Add the onnx protos.
* Move the reading bits.
* Install protoc on the CI.
* Install protoc on the cuda CI too.
* Use clap for the onnx tool.
* Tweak the CI protoc install.
* Add some simple evalution function.
* Add some binary operator support.
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