Every ONNX object is defined based on a protobuf message and has a name ended with suffix Proto . For example, NodeProto defines an operator, TensorProto ... Onnx.backend · Onnx.helper · Onnx.checker · Onnx.compose

ONNX Runtime API docs. Python API Docs · Java API Docs · C# API Docs · C/C++ API Docs · WinRT API Docs · Objective-C Docs · JavaScript API Docs. ONNX Runtime JavaScript API · Python API · API Basics · C API

ONNX Compose. onnx.compose module provides tools to create combined models. onnx.compose.merge_models can be used to merge two models, by connecting some of the ...

ONNX Runtime loads and runs inference on a model in ONNX graph format, or ORT format (for memory and disk constrained environments).

Module onnx provides a faster way to define a graph and is lot easier to read. That's easy to use when the graph is built in a single function, less easy when ...

Aidge ONNX API#. Import#. Method related to the import of an ONNX graph into Aidge. aidge_onnx.load_onnx(filename: str, verbose: bool = False)#.

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep ... API Reference · sklearn-ONNX · Onnx-mlir · Introduction and Concepts

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX Tutorials · ONNX Optimizer · Python API Overview · Issues 293

onnx-array-api implements APIs to create custom ONNX graphs. The objective is to speed up the implementation of converter libraries. Contents.

The torch.onnx module captures the computation graph from a native PyTorch torch.nn.Module model and converts it into an ONNX graph. TorchScript-based ONNX... · TorchDynamo-based ONNX... · Torch.export