Uses of Class
org.tribuo.util.onnx.ONNXContext

Packages that use ONNXContext

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.math.onnx	Utilities for converting Tribuo math objects into ONNX representations.
org.tribuo.util.onnx	Interfaces and utilities for writing ONNX models from Java.

Uses of ONNXContext in org.tribuo

Methods in org.tribuo with parameters of type ONNXContext

Modifier and Type	Method	Description
static <M extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>> ai.onnx.proto.OnnxMl.ModelProto	ONNXExportable.buildModel(ONNXContext onnxContext, String domain, long modelVersion, M model)	Creates an ONNX model protobuf for the supplied context.

Uses of ONNXContext in org.tribuo.math.onnx

Methods in org.tribuo.math.onnx with parameters of type ONNXContext

Modifier and Type	Method	Description
static ONNXInitializer	ONNXMathUtils.floatMatrix(ONNXContext context, String name, Matrix matrix, boolean transpose)	Builds a ONNXInitializer containing the Matrix.
static ONNXInitializer	ONNXMathUtils.floatVector(ONNXContext context, String name, SGDVector vector)	Builds a ONNXInitializer containing the SGDVector.

Uses of ONNXContext in org.tribuo.util.onnx

Fields in org.tribuo.util.onnx declared as ONNXContext

Modifier and Type	Field	Description
protected final ONNXContext	ONNXRef.context	The ONNX context.

Methods in org.tribuo.util.onnx that return ONNXContext

Modifier and Type	Method	Description
ONNXContext	ONNXRef.onnxContext()	The context this reference operates in.

Methods in org.tribuo.util.onnx with parameters of type ONNXContext

Modifier and Type	Method	Description
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, double[] parameters)	Builds a TensorProto containing the array.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, double[] parameters, boolean downcast)	Builds a TensorProto containing the array.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, float[] parameters)	Builds a TensorProto containing the array.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, int[] parameters)	Builds a TensorProto containing the array.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.arrayBuilder(ONNXContext context, String name, long[] parameters)	Builds a TensorProto containing the array.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String[] inputs, String output)	Builds this node based on the supplied inputs and output.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String[] inputs, String[] outputs)	Builds this node based on the supplied inputs and outputs.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String[] inputs, String[] outputs, Map<String,Object> attributeValues)	Builds this node based on the supplied inputs and outputs.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String[] inputs, String output, Map<String,Object> attributeValues)	Builds this node based on the supplied inputs and output.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String input, String output)	Builds this node based on the supplied inputs and output.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String input, String[] outputs)	Builds this node based on the supplied input and outputs.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String input, String[] outputs, Map<String,Object> attributeValues)	Builds this node based on the supplied input and outputs.
default ai.onnx.proto.OnnxMl.NodeProto	ONNXOperator.build(ONNXContext context, String input, String output, Map<String,Object> attributeValues)	Builds this node based on the supplied inputs and output.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.doubleTensorBuilder(ONNXContext context, String name, List<Integer> dims, Consumer<DoubleBuffer> dataPopulator)	Generic method to create double OnnxMl.TensorProto instances.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.floatTensorBuilder(ONNXContext context, String name, List<Integer> dims, Consumer<FloatBuffer> dataPopulator)	Generic method to create float OnnxMl.TensorProto instances.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, double value)	Builds a TensorProto containing the scalar value.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, float value)	Builds a TensorProto containing the scalar value.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, int value)	Builds a TensorProto containing the scalar value.
static ai.onnx.proto.OnnxMl.TensorProto	ONNXUtils.scalarBuilder(ONNXContext context, String name, long value)	Builds a TensorProto containing the scalar value.