onnx_ir¶

Functions and constructors¶

`onnx_ir.load`	Load an ONNX model from a file.
`onnx_ir.save`	Save an ONNX model to a file.
`onnx_ir.from_proto`	Deserialize an ONNX proto message to an IR object.
`onnx_ir.from_onnx_text`	Convert the ONNX textual representation to an IR model.
`onnx_ir.to_proto`	Serialize an IR object to a proto.
`onnx_ir.tensor`	Create a tensor value from an ArrayLike object or a TensorProto.
`onnx_ir.node`	Create an `ir.Node`.

`onnx_ir.TensorProtocol`	Concrete tensor backed by data.
`onnx_ir.Value`	IR Value.
`onnx_ir.Node`	IR Node.
`onnx_ir.Graph`	IR Graph.
`onnx_ir.Model`
`onnx_ir.GraphView`	A read-only view on a graph.
`onnx_ir.Function`	IR functions.
`onnx_ir.Attr`	Base class for ONNX attributes or references.
`onnx_ir.Shape`	The shape of a tensor, including its dimensions and optional denotations.
`onnx_ir.SymbolicDim`	Immutable symbolic dimension that can be shared across multiple shapes.
`onnx_ir.TypeAndShape`	Type and shape.
`onnx_ir.TensorType`	A type that represents a tensor.
`onnx_ir.SparseTensorType`	A type that represents a sparse tensor.
`onnx_ir.SequenceType`	A type that represents a sequence of elements.
`onnx_ir.OptionalType`	A type that represents an optional element.
`onnx_ir.Tensor`	An immutable concrete tensor.
`onnx_ir.ExternalTensor`	An immutable concrete tensor with its data store on disk.
`onnx_ir.StringTensor`	Multidimensional array of strings (as binary data to match the string_data field in TensorProto).
`onnx_ir.LazyTensor`	A tensor that lazily evaluates a function to get the actual tensor.

`onnx_ir.DataType`	Enum for the data types of ONNX tensors, defined in `onnx.TensorProto`.
`onnx_ir.AttributeType`	Enum for the types of ONNX attributes.