ONNX Operators¶. Lists out all the ONNX operators. For each operator, lists out the usage guide, parameters, examples, and line-by-line version history. Ai.onnx.ml · Ai.onnx.ml - CastMap · Ai.onnx.ml - LinearRegressor · CenterCropPad

Open standard for machine learning interoperability - onnx/docs/Operators.md at main · onnx/onnx.

In this document, we will introduce how to create a custom operator using Python functions and integrate it into ONNX Runtime for inference.

Every operator has its own class in sklearn-onnx. The list is dynamically created based on the installed onnx package.

ai.onnx.ml.FeatureVectorizer Concatenates input tensors into one continuous output. All input shapes are 2-D and are concatenated along the second dimension.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator.

When you import a model, each ONNX operator in the model graph becomes a Sentis layer. A Sentis layer has the same name as the ONNX operator, unless the table ...

The ONNX operator schema for each operator includes a differentiability tag for each input and output. In this document, we explain the meaning of this tag and ...

When you import a model, each ONNX operator in the model graph becomes a Sentis layer. A Sentis layer has the same name as the ONNX operator, unless the table ...

ONNX Operators#. Lists out all the ONNX operators. For each operator, lists out the usage guide, parameters, examples, and line-by-line version history.