A B C D E F G H I K M N O P Q R S T U V W _

A

addAllAttribute(Iterable<? extends OnnxMl.AttributeProto>) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAllDim(Iterable<? extends OnnxMl.TensorShapeProto.Dimension>) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addAllDims(Iterable<? extends Long>) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addAllDims(Iterable<? extends Long>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

addAllDoubleData(Iterable<? extends Double>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllExternalData(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addAllFloatData(Iterable<? extends Float>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addAllFloats(Iterable<? extends Float>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

addAllGraphs(Iterable<? extends OnnxMl.GraphProto>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addAllInitializationBinding(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addAllInitializer(Iterable<? extends OnnxMl.TensorProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addAllInput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addAllInput(Iterable<String>) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addAllInt32Data(Iterable<? extends Integer>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addAllInt64Data(Iterable<? extends Long>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

addAllInts(Iterable<? extends Long>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

addAllMetadataProps(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addAllNode(Iterable<? extends OnnxMl.NodeProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addAllOpsetImport(Iterable<? extends OnnxMl.OperatorSetIdProto>) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addAllOutput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addAllOutput(Iterable<String>) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addAllQuantizationAnnotation(Iterable<? extends OnnxMl.TensorAnnotation>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addAllQuantParameterTensorNames(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addAllSparseInitializer(Iterable<? extends OnnxMl.SparseTensorProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addAllSparseTensors(Iterable<? extends OnnxMl.SparseTensorProto>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addAllStringData(Iterable<? extends ByteString>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

addAllStrings(Iterable<? extends ByteString>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

addAllTensors(Iterable<? extends OnnxMl.TensorProto>) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addAllTrainingInfo(Iterable<? extends OnnxMl.TrainingInfoProto>) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addAllUint64Data(Iterable<? extends Long>) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addAllUpdateBinding(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addAllValueInfo(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addAttribute(OnnxMl.AttributeProto) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(int, OnnxMl.AttributeProto) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(OnnxMl.AttributeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttributeBuilder() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addAttributeBuilder(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

addDim(OnnxMl.TensorShapeProto.Dimension) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDimBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

addDims(long) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

addDims(long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

addDoubleData(double) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addExternalData(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalData(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addExternalDataBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

addFloatData(float) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

addFloats(float) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

addGraphs(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(int, OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addGraphs(int, OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addGraphsBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addGraphsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

addInitializationBinding(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializationBindingBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

addInitializer(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(int, OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializer(int, OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInitializerBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

addInput(OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInput(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addInputBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInputBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

addInputBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addInt32Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

addInt64Data(long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

addInts(long) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

addMetadataProps(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addMetadataPropsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

addNode(OnnxMl.NodeProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, OnnxMl.NodeProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(OnnxMl.NodeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNode(int, OnnxMl.NodeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addNodeBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

addOpsetImport(OnnxMl.OperatorSetIdProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(OnnxMl.OperatorSetIdProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOpsetImportBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

addOutput(OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutput(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addOutputBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

addOutputBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

addQuantizationAnnotation(OnnxMl.TensorAnnotation) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(int, OnnxMl.TensorAnnotation) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(OnnxMl.TensorAnnotation.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotation(int, OnnxMl.TensorAnnotation.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantizationAnnotationBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

addQuantParameterTensorNames(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addQuantParameterTensorNamesBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

addSparseInitializer(OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(int, OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializer(int, OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseInitializerBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

addSparseTensors(OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(int, OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensors(int, OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addSparseTensorsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

addStringData(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

addStrings(ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

addTensors(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(int, OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTensors(int, OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTensorsBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTensorsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

addTrainingInfo(OnnxMl.TrainingInfoProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(int, OnnxMl.TrainingInfoProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(OnnxMl.TrainingInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfo(int, OnnxMl.TrainingInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addTrainingInfoBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

addUint64Data(long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

addUpdateBinding(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addUpdateBindingBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

addValueInfo(OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfo(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

addValueInfoBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

ai.onnx.proto - package ai.onnx.proto

ALGORITHM_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TrainingInfoProto

ATTRIBUTE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

B

BEGIN_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto.Segment

BFLOAT16_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

Non-IEEE floating-point format based on IEEE754 single-precision floating-point number truncated to 16 bits.

BOOL_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

bool

build() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

build() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

build() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

buildPartial() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

C

clear() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

clear() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

clearAlgorithm() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

clearAttribute() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

clearBegin() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 begin = 1;

clearDataLocation() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

clearDataType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The data type of the tensor.

clearDenotation() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

clearDenotation() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

clearDim() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

clearDimParam() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

clearDims() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

clearDims() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

clearDimValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

clearDocString() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

clearDocString() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

clearDocString() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

clearDocString() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

clearDocString() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

clearDocString() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

clearDomain() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

clearDomain() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

clearDomain() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

clearDomain() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

clearDoubleData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

clearElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearEnd() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 end = 2;

clearExternalData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

clearF() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

clearField(Descriptors.FieldDescriptor) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

clearFloatData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

clearFloats() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

clearG() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

clearGraph() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

clearGraphs() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

clearI() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

int

clearIndices() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

clearInitialization() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

clearInitializationBinding() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

clearInitializer() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

clearInput() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

clearInput() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

clearInt32Data() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

clearInt64Data() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

clearInts() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

clearIrVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

clearKey() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

clearKeyType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

clearMapType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

clearMetadataProps() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

clearModelVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the graph encoded.

clearName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

clearName() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

clearName() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

clearName() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

clearName() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

clearName() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

clearNode() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

clearOneof(Descriptors.OneofDescriptor) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

clearOpaqueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

clearOpsetImport() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

clearOpType() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

clearOutput() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

clearOutput() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

clearProducerName() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

clearProducerVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

clearQuantizationAnnotation() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

clearQuantParameterTensorNames() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

clearRawData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

clearRefAttrName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

clearS() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

UTF-8 string

clearSegment() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

clearSequenceType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

clearShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

clearShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

clearSparseInitializer() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

clearSparseTensor() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

clearSparseTensors() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

clearSparseTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

clearStringData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

clearStrings() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

clearT() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

clearTensorName() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

clearTensors() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

clearTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

clearTrainingInfo() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

clearType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

clearType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

clearUint64Data() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

clearUpdateBinding() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

clearValue() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

clearValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

clearValue() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

clearValueInfo() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

clearValues() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

clearValueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

clearVersion() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

clone() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

clone() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

COMPLEX128_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

complex with float64 real and imaginary components

COMPLEX64_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

complex with float32 real and imaginary components

D

DATA_LOCATION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

DATA_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

DEFAULT_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

DEFAULT = 0;

DENOTATION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

DENOTATION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

DIM_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto

DIM_PARAM_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

DIM_VALUE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

DIMS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.SparseTensorProto

DIMS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

DOC_STRING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ValueInfoProto

DOMAIN_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

DOMAIN_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

DOMAIN_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

DOMAIN_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

DOUBLE_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

DOUBLE_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

DOUBLE = 11;

E

ELEM_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

ELEM_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

ELEM_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

END_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto.Segment

equals(Object) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.GraphProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.ModelProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.NodeProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

equals(Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

equals(Object) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

EXTERNAL_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

EXTERNAL_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

EXTERNAL = 1;

F

F_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

FLOAT16_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

IEEE754 half-precision floating-point format (16 bits wide).

FLOAT_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

FLOAT_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

FLOAT = 1;

FLOAT_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

Basic types.

FLOATS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

FLOATS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

FLOATS = 6;

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.ValueCase

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.TypeProto.ValueCase

forNumber(int) - Static method in enum ai.onnx.proto.OnnxMl.Version

G

G_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

getAlgorithm() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithm() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithm() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAlgorithmBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

getAlgorithmOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

getAttribute(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttribute(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

Additional named attributes.

getAttribute(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeBuilder(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeBuilderList() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto

Additional named attributes.

getAttributeCount() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeList() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeList() - Method in class ai.onnx.proto.OnnxMl.NodeProto

Additional named attributes.

getAttributeList() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

Additional named attributes.

getAttributeOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getAttributeOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

getAttributeOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.NodeProto

Additional named attributes.

getAttributeOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

Additional named attributes.

getBegin() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 begin = 1;

getBegin() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

optional int64 begin = 1;

getBegin() - Method in interface ai.onnx.proto.OnnxMl.TensorProto.SegmentOrBuilder

optional int64 begin = 1;

getDataLocation() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in class ai.onnx.proto.OnnxMl.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataLocation() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

getDataType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The data type of the tensor.

getDataType() - Method in class ai.onnx.proto.OnnxMl.TensorProto

The data type of the tensor.

getDataType() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

The data type of the tensor.

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.GraphProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.ModelProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.NodeProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TensorProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getDefaultInstance() - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.GraphProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.ModelProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.NodeProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

getDefaultInstanceForType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getDenotation() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotation() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in class ai.onnx.proto.OnnxMl.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotation() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

getDenotationBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDenotationBytes() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

getDescriptor() - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.GraphProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.ModelProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.NodeProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

getDescriptor() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

getDescriptor() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

getDescriptor() - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getDescriptor() - Static method in enum ai.onnx.proto.OnnxMl.Version

getDescriptorForType() - Method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

getDescriptorForType() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

getDescriptorForType() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

getDescriptorForType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

getDescriptorForType() - Method in enum ai.onnx.proto.OnnxMl.Version

getDim(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDim(int) - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimCount() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimList() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProtoOrBuilder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

getDimParam() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParam() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

namespace Shape

getDimParam() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDimParamBytes() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

getDimParamBytes() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

namespace Shape

getDimParamBytes() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

getDims(int) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDims(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDims(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

The shape of the tensor.

getDims(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDimsCount() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDimsCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

The shape of the tensor.

getDimsCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDimsList() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

getDimsList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

getDimsList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

The shape of the tensor.

getDimsList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

The shape of the tensor.

getDimValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

getDimValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

int64 dim_value = 1;

getDimValue() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

getDocString() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocString() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

A human-readable documentation for this attribute.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocString() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

getDocString() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A human-readable documentation for this graph.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocString() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

getDocString() - Method in class ai.onnx.proto.OnnxMl.ModelProto

A human-readable documentation for this model.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocString() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

getDocString() - Method in class ai.onnx.proto.OnnxMl.NodeProto

A human-readable documentation for this node.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocString() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

getDocString() - Method in class ai.onnx.proto.OnnxMl.TensorProto

A human-readable documentation for this tensor.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocString() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocString() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

A human-readable documentation for this value.

getDocString() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

A human-readable documentation for this attribute.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A human-readable documentation for this graph.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A human-readable documentation for this graph.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto

A human-readable documentation for this model.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

A human-readable documentation for this model.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto

A human-readable documentation for this node.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

A human-readable documentation for this node.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.TensorProto

A human-readable documentation for this tensor.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

A human-readable documentation for this tensor.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

getDocStringBytes() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

A human-readable documentation for this value.

getDocStringBytes() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

getDomain() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

getDomain() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Domain name of the model.

getDomain() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Domain name of the model.

getDomain() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomain() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomain() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

The domain of the operator set being identified.

getDomain() - Method in interface ai.onnx.proto.OnnxMl.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomain() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

getDomain() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

When missing, the domain is the same as the model's.

getDomain() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

When missing, the domain is the same as the model's.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Domain name of the model.

getDomainBytes() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Domain name of the model.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

The domain of the operator set being identified.

getDomainBytes() - Method in interface ai.onnx.proto.OnnxMl.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

getDomainBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

When missing, the domain is the same as the model's.

getDomainBytes() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

When missing, the domain is the same as the model's.

getDoubleData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleData(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getDoubleDataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SparseTensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.TensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getElemTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

getElemTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

getEnd() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 end = 2;

getEnd() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

optional int64 end = 2;

getEnd() - Method in interface ai.onnx.proto.OnnxMl.TensorProto.SegmentOrBuilder

optional int64 end = 2;

getExternalData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalData(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getExternalDataOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

getF() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

Exactly ONE of the following fields must be present for this version of the IR

getF() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

Exactly ONE of the following fields must be present for this version of the IR

getFloatData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatData(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloatDataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

getFloats(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

getFloats(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of floats

getFloats(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of floats

getFloatsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

getFloatsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of floats

getFloatsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of floats

getFloatsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

getFloatsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of floats

getFloatsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of floats

getG() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

getG() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

graph

getG() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

graph

getGBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

getGOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

getGOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

graph

getGOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

graph

getGraph() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraph() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraphBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

getGraphOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

getGraphs(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphs(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of graph

getGraphs(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of graph

getGraphsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of graph

getGraphsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of graph

getGraphsOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of graph

getGraphsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

getGraphsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of graph

getGraphsOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of graph

getI() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

int

getI() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

int

getI() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

int

getIndices() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndices() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

getIndicesOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

getInitialization() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitialization() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBinding(int) - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingCount() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingList() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBindingOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

getInitializationBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializationOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

getInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializer(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A list of named tensor values, used to specify constant inputs of the graph.

getInitializerOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A list of named tensor values, used to specify constant inputs of the graph.

getInput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInput(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInput(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getInput(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getInput(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputBytes(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getInputBytes(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getInputBytes(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getInputCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getInputCount() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputList() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getInputList() - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getInputList() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getInputOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The inputs and outputs of the graph.

getInputOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The inputs and outputs of the graph.

getInt32Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32Data(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt32DataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

getInt64Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

getInt64Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int64.

getInt64Data(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int64.

getInt64DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

getInt64DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int64.

getInt64DataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int64.

getInt64DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

getInt64DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For int64.

getInt64DataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For int64.

getInts(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

getInts(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of ints

getInts(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of ints

getIntsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

getIntsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of ints

getIntsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of ints

getIntsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

getIntsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of ints

getIntsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of ints

getIrVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

getIrVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the IR this model targets.

getIrVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the IR this model targets.

getKey() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

getKey() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string key = 1;

getKey() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string key = 1;

getKeyBytes() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

getKeyBytes() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string key = 1;

getKeyBytes() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string key = 1;

getKeyType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getKeyType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.MapOrBuilder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

getMapType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

getMapType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a map.

getMapType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a map.

getMapTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

getMapTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

getMapTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a map.

getMapTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a map.

getMetadataProps(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataProps(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsCount() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Named metadata values; keys should be distinct.

getMetadataPropsOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Named metadata values; keys should be distinct.

getModelVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the graph encoded.

getModelVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the graph encoded.

getModelVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the graph encoded.

getName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

The name field MUST be present for this version of the IR.

getName() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getName() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

getName() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The name of the graph.

getName() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The name of the graph.

getName() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

getName() - Method in class ai.onnx.proto.OnnxMl.NodeProto

An optional identifier for this node in a graph.

getName() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getName() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

getName() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Optionally, a name for the tensor.

getName() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Optionally, a name for the tensor.

getName() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

getName() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

The name is optional but significant when provided.

getName() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

The name is optional but significant when provided.

getName() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getName() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR.

getName() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

The name field MUST be present for this version of the IR.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The name of the graph.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The name of the graph.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto

An optional identifier for this node in a graph.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

An optional identifier for this node in a graph.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Optionally, a name for the tensor.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Optionally, a name for the tensor.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

The name is optional but significant when provided.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

The name is optional but significant when provided.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

getNameBytes() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR.

getNameBytes() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

getNode(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNode(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNode(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The nodes in the graph, sorted topologically.

getNodeOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The nodes in the graph, sorted topologically.

getNumber() - Method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

getNumber() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

getNumber() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

getNumber() - Method in enum ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.ValueCase

getNumber() - Method in enum ai.onnx.proto.OnnxMl.TypeProto.ValueCase

getNumber() - Method in enum ai.onnx.proto.OnnxMl.Version

getOpaqueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

getOpaqueTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

getOpsetImport(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImport(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImport(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportCount() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The OperatorSets this model relies on.

getOpsetImportOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The OperatorSets this model relies on.

getOpType() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpType() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The symbolic identifier of the Operator to execute.

getOpType() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The symbolic identifier of the Operator to execute.

getOpTypeBytes() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

getOutput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutput(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getOutput(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getOutput(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputBytes(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getOutputBytes(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getOutputBytes(int) - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getOutputCount() - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getOutputCount() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputList() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

getOutputList() - Method in class ai.onnx.proto.OnnxMl.NodeProto

namespace Value

getOutputList() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

namespace Value

getOutputOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

repeated .onnx.ValueInfoProto output = 12;

getOutputOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

repeated .onnx.ValueInfoProto output = 12;

getParserForType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.GraphProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.ModelProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.NodeProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getParserForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getParserForType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getProducerName() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerName() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The name of the framework or tool used to generate this model.

getProducerName() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The name of the framework or tool used to generate this model.

getProducerNameBytes() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

getProducerVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the framework or tool used to generate this model.

getProducerVersionBytes() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

getQuantizationAnnotation(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotation(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantizationAnnotationOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

getQuantParameterTensorNames(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNames(int) - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesCount() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesList() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getQuantParameterTensorNamesOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

getRawData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Serializations can either use one of the fields above, or use this raw bytes field.

getRawData() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Serializations can either use one of the fields above, or use this raw bytes field.

getRefAttrName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrName() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getRefAttrNameBytes() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

getS() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

UTF-8 string

getS() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

UTF-8 string

getS() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

UTF-8 string

getSegment() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

getSegment() - Method in class ai.onnx.proto.OnnxMl.TensorProto

optional .onnx.TensorProto.Segment segment = 3;

getSegment() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

optional .onnx.TensorProto.Segment segment = 3;

getSegmentBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto

optional .onnx.TensorProto.Segment segment = 3;

getSegmentOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

optional .onnx.TensorProto.Segment segment = 3;

getSequenceType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a sequence.

getSequenceType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

getSequenceTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

getSequenceTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a sequence.

getSequenceTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.GraphProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.ModelProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.NodeProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TensorProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getSerializedSize() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

optional .onnx.TensorShapeProto shape = 2;

getShape() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SparseTensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

getShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

optional .onnx.TensorShapeProto shape = 2;

getShape() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.TensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShapeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SparseTensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

optional .onnx.TensorShapeProto shape = 2;

getShapeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.TensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

getSparseInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializer(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Initializers (see above) stored in sparse format.

getSparseInitializerOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Initializers (see above) stored in sparse format.

getSparseTensor() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensor() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

sparse tensor value

getSparseTensor() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

getSparseTensorBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensorOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

getSparseTensorOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

sparse tensor value

getSparseTensorOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

getSparseTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensors(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of sparse tensors

getSparseTensorsOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of sparse tensors

getSparseTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getSparseTensorTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

getStringData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

getStringData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For strings.

getStringData(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For strings.

getStringDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

getStringDataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For strings.

getStringDataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For strings.

getStringDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

getStringDataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For strings.

getStringDataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For strings.

getStrings(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStrings(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of UTF-8 strings

getStrings(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStringsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of UTF-8 strings

getStringsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getStringsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

getStringsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of UTF-8 strings

getStringsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of UTF-8 strings

getT() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

getT() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

tensor value

getT() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

tensor value

getTBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

getTensorName() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

getTensorName() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

optional string tensor_name = 1;

getTensorName() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

optional string tensor_name = 1;

getTensorNameBytes() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

getTensorNameBytes() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

optional string tensor_name = 1;

getTensorNameBytes() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

optional string tensor_name = 1;

getTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of tensors

getTensors(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsCount() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of tensors

getTensorsCount() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of tensors

getTensorsList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of tensors

getTensorsOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

getTensorsOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

list of tensors

getTensorsOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

list of tensors

getTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a tensor.

getTensorType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

getTensorTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

getTensorTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a tensor.

getTensorTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

getTOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

getTOrBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

tensor value

getTOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

tensor value

getTrainingInfo(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfo(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

Training-specific information.

getTrainingInfo(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoCount() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoCount() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

getTrainingInfoOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Training-specific information.

getTrainingInfoOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Training-specific information.

getType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

getType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

The type field MUST be present for this version of the IR.

getType() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

getType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getType() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

getUint64Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64Data(int) - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataCount() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in class ai.onnx.proto.OnnxMl.TensorProto

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUint64DataList() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.GraphProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.ModelProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.NodeProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TensorProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

getUnknownFields() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

getUpdateBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBinding(int) - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingCount() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingList() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Gradient-based training is usually an iterative procedure.

getUpdateBindingOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

Gradient-based training is usually an iterative procedure.

getValue() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

getValue() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string value = 2;

getValue() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string value = 2;

getValueBytes() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

getValueBytes() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string value = 2;

getValueBytes() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string value = 2;

getValueCase() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

getValueCase() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

getValueCase() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

getValueCase() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

getValueCase() - Method in class ai.onnx.proto.OnnxMl.TypeProto

getValueCase() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

getValueDescriptor() - Method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

getValueDescriptor() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

getValueDescriptor() - Method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

getValueDescriptor() - Method in enum ai.onnx.proto.OnnxMl.Version

getValueInfo(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfo(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfo(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoCount() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoCount() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoOrBuilder(int) - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in class ai.onnx.proto.OnnxMl.GraphProto

Information for the values in the graph.

getValueInfoOrBuilderList() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

Information for the values in the graph.

getValues() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValues() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValuesOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

getValueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

getValueType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getValueTypeBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

getValueTypeOrBuilder() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

getVersion() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

getVersion() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

The version of the operator set being identified.

getVersion() - Method in interface ai.onnx.proto.OnnxMl.OperatorSetIdProtoOrBuilder

The version of the operator set being identified.

GRAPH_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

GRAPH_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

GRAPH = 5;

GRAPHS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

GRAPHS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

GRAPHS = 10;

H

hasAlgorithm() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

hasAlgorithm() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field represents a training algorithm step.

hasAlgorithm() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field represents a training algorithm step.

hasBegin() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 begin = 1;

hasBegin() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

optional int64 begin = 1;

hasBegin() - Method in interface ai.onnx.proto.OnnxMl.TensorProto.SegmentOrBuilder

optional int64 begin = 1;

hasDataLocation() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

hasDataLocation() - Method in class ai.onnx.proto.OnnxMl.TensorProto

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

hasDataLocation() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

hasDataType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The data type of the tensor.

hasDataType() - Method in class ai.onnx.proto.OnnxMl.TensorProto

The data type of the tensor.

hasDataType() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

The data type of the tensor.

hasDenotation() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

hasDenotation() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

hasDenotation() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

hasDenotation() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

hasDenotation() - Method in class ai.onnx.proto.OnnxMl.TypeProto

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

hasDenotation() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

hasDimParam() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

hasDimParam() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

namespace Shape

hasDimParam() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

namespace Shape

hasDimValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

hasDimValue() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

int64 dim_value = 1;

hasDimValue() - Method in interface ai.onnx.proto.OnnxMl.TensorShapeProto.DimensionOrBuilder

int64 dim_value = 1;

hasDocString() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

A human-readable documentation for this attribute.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

A human-readable documentation for this attribute.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.GraphProto

A human-readable documentation for this graph.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

A human-readable documentation for this graph.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.ModelProto

A human-readable documentation for this model.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

A human-readable documentation for this model.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.NodeProto

A human-readable documentation for this node.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

A human-readable documentation for this node.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.TensorProto

A human-readable documentation for this tensor.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

A human-readable documentation for this tensor.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

hasDocString() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

A human-readable documentation for this value.

hasDocString() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

A human-readable documentation for this value.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.ModelProto

Domain name of the model.

hasDomain() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

Domain name of the model.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The domain of the OperatorSet that specifies the operator named by op_type.

hasDomain() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The domain of the OperatorSet that specifies the operator named by op_type.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

The domain of the operator set being identified.

hasDomain() - Method in interface ai.onnx.proto.OnnxMl.OperatorSetIdProtoOrBuilder

The domain of the operator set being identified.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

hasDomain() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

When missing, the domain is the same as the model's.

hasDomain() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

When missing, the domain is the same as the model's.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

The type and optional shape of each element of the sequence.

hasElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SequenceOrBuilder

The type and optional shape of each element of the sequence.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SparseTensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasElemType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasElemType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.TensorOrBuilder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasEnd() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 end = 2;

hasEnd() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

optional int64 end = 2;

hasEnd() - Method in interface ai.onnx.proto.OnnxMl.TensorProto.SegmentOrBuilder

optional int64 end = 2;

hasF() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

hasF() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

Exactly ONE of the following fields must be present for this version of the IR

hasF() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

Exactly ONE of the following fields must be present for this version of the IR

hasG() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

hasG() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

graph

hasG() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

graph

hasGraph() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The parameterized graph that is evaluated to execute the model.

hasGraph() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The parameterized graph that is evaluated to execute the model.

hashCode() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.GraphProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.ModelProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.NodeProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

hashCode() - Method in class ai.onnx.proto.OnnxMl.TensorProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

hashCode() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

hashCode() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

hashCode() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

hashCode() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

hasI() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

int

hasI() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

int

hasI() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

int

hasIndices() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The indices of the non-default values, which may be stored in one of two formats.

hasIndices() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The indices of the non-default values, which may be stored in one of two formats.

hasInitialization() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

This field describes a graph to compute the initial tensors upon starting the training process.

hasInitialization() - Method in interface ai.onnx.proto.OnnxMl.TrainingInfoProtoOrBuilder

This field describes a graph to compute the initial tensors upon starting the training process.

hasIrVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

hasIrVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the IR this model targets.

hasIrVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the IR this model targets.

hasKey() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

hasKey() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string key = 1;

hasKey() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string key = 1;

hasKeyType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasKeyType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasKeyType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.MapOrBuilder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

hasMapType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

hasMapType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a map.

hasMapType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a map.

hasModelVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the graph encoded.

hasModelVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the graph encoded.

hasModelVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the graph encoded.

hasName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

hasName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

The name field MUST be present for this version of the IR.

hasName() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

The name field MUST be present for this version of the IR.

hasName() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

hasName() - Method in class ai.onnx.proto.OnnxMl.GraphProto

The name of the graph.

hasName() - Method in interface ai.onnx.proto.OnnxMl.GraphProtoOrBuilder

The name of the graph.

hasName() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

hasName() - Method in class ai.onnx.proto.OnnxMl.NodeProto

An optional identifier for this node in a graph.

hasName() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

An optional identifier for this node in a graph.

hasName() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

hasName() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Optionally, a name for the tensor.

hasName() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Optionally, a name for the tensor.

hasName() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

hasName() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

The name is optional but significant when provided.

hasName() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.OpaqueOrBuilder

The name is optional but significant when provided.

hasName() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

hasName() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR.

hasName() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR.

hasOpaqueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

hasOpaqueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.Opaque opaque_type = 7;

hasOpaqueType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.Opaque opaque_type = 7;

hasOpType() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

hasOpType() - Method in class ai.onnx.proto.OnnxMl.NodeProto

The symbolic identifier of the Operator to execute.

hasOpType() - Method in interface ai.onnx.proto.OnnxMl.NodeProtoOrBuilder

The symbolic identifier of the Operator to execute.

hasProducerName() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

hasProducerName() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The name of the framework or tool used to generate this model.

hasProducerName() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The name of the framework or tool used to generate this model.

hasProducerVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

hasProducerVersion() - Method in class ai.onnx.proto.OnnxMl.ModelProto

The version of the framework or tool used to generate this model.

hasProducerVersion() - Method in interface ai.onnx.proto.OnnxMl.ModelProtoOrBuilder

The version of the framework or tool used to generate this model.

hasRawData() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

hasRawData() - Method in class ai.onnx.proto.OnnxMl.TensorProto

Serializations can either use one of the fields above, or use this raw bytes field.

hasRawData() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

Serializations can either use one of the fields above, or use this raw bytes field.

hasRefAttrName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

hasRefAttrName() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

hasRefAttrName() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

hasS() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

UTF-8 string

hasS() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

UTF-8 string

hasS() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

UTF-8 string

hasSegment() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in class ai.onnx.proto.OnnxMl.TensorProto

optional .onnx.TensorProto.Segment segment = 3;

hasSegment() - Method in interface ai.onnx.proto.OnnxMl.TensorProtoOrBuilder

optional .onnx.TensorProto.Segment segment = 3;

hasSequenceType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

hasSequenceType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a sequence.

hasSequenceType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a sequence.

hasShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

hasShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

optional .onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.SparseTensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

hasShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

hasShape() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

optional .onnx.TensorShapeProto shape = 2;

hasShape() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.TensorOrBuilder

optional .onnx.TensorShapeProto shape = 2;

hasSparseTensor() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

hasSparseTensor() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

sparse tensor value

hasSparseTensor() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

sparse tensor value

hasSparseTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

hasSparseTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

hasSparseTensorType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

hasT() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

hasT() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

tensor value

hasT() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

tensor value

hasTensorName() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

hasTensorName() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

optional string tensor_name = 1;

hasTensorName() - Method in interface ai.onnx.proto.OnnxMl.TensorAnnotationOrBuilder

optional string tensor_name = 1;

hasTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

hasTensorType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

The type of a tensor.

hasTensorType() - Method in interface ai.onnx.proto.OnnxMl.TypeProtoOrBuilder

The type of a tensor.

hasType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

hasType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

The type field MUST be present for this version of the IR.

hasType() - Method in interface ai.onnx.proto.OnnxMl.AttributeProtoOrBuilder

The type field MUST be present for this version of the IR.

hasType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasType() - Method in interface ai.onnx.proto.OnnxMl.ValueInfoProtoOrBuilder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

hasValue() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

hasValue() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

optional string value = 2;

hasValue() - Method in interface ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder

optional string value = 2;

hasValues() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValues() - Method in interface ai.onnx.proto.OnnxMl.SparseTensorProtoOrBuilder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

hasValueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

hasValueType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

This field MUST be present for this version of the IR.

hasValueType() - Method in interface ai.onnx.proto.OnnxMl.TypeProto.MapOrBuilder

This field MUST be present for this version of the IR.

hasVersion() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

hasVersion() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

The version of the operator set being identified.

hasVersion() - Method in interface ai.onnx.proto.OnnxMl.OperatorSetIdProtoOrBuilder

The version of the operator set being identified.

I

I_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

INDICES_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.SparseTensorProto

INITIALIZATION_BINDING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TrainingInfoProto

INITIALIZATION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TrainingInfoProto

INITIALIZER_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

INPUT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

INPUT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

INT16_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

int16_t

INT32_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

INT32_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

int32_t

INT64_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

INT64_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

int64_t

INT8_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

int8_t

INT_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

INT = 2;

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.GraphProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.ModelProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.NodeProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

internalGetFieldAccessorTable() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

internalGetValueMap() - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

internalGetValueMap() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

internalGetValueMap() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

internalGetValueMap() - Static method in enum ai.onnx.proto.OnnxMl.Version

INTS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

INTS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

INTS = 7;

IR_VERSION_2017_10_10_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

The version field is always serialized and we will use it to store the version that the graph is generated from.

IR_VERSION_2017_10_30_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users

IR_VERSION_2017_11_3_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto

IR_VERSION_2019_1_22_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16

IR_VERSION_2019_3_18_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.

IR_VERSION_2019_9_19_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

IR_VERSION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

IR_VERSION_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets.

isInitialized() - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.GraphProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.ModelProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.NodeProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

isInitialized() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

isInitialized() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

K

KEY_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.StringStringEntryProto

KEY_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Map

M

MAP_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

mergeAlgorithm(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

mergeElemType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

mergeFrom(OnnxMl.AttributeProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

mergeFrom(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

mergeFrom(OnnxMl.ModelProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

mergeFrom(OnnxMl.NodeProto) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(OnnxMl.OperatorSetIdProto) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

mergeFrom(OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

mergeFrom(OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

mergeFrom(OnnxMl.TensorAnnotation) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

mergeFrom(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

mergeFrom(OnnxMl.TensorProto.Segment) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

mergeFrom(OnnxMl.TensorShapeProto) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(OnnxMl.TensorShapeProto.Dimension) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

mergeFrom(OnnxMl.TrainingInfoProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

mergeFrom(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

mergeFrom(OnnxMl.TypeProto.Map) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(OnnxMl.TypeProto.Opaque) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(OnnxMl.TypeProto.Sequence) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(OnnxMl.TypeProto.SparseTensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(OnnxMl.TypeProto.Tensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

mergeFrom(Message) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

mergeFrom(OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

mergeG(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

mergeGraph(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

mergeIndices(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

mergeInitialization(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

mergeMapType(OnnxMl.TypeProto.Map) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

mergeOpaqueType(OnnxMl.TypeProto.Opaque) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

mergeSegment(OnnxMl.TensorProto.Segment) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

mergeSequenceType(OnnxMl.TypeProto.Sequence) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

mergeShape(OnnxMl.TensorShapeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

mergeShape(OnnxMl.TensorShapeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

mergeSparseTensor(OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

mergeSparseTensorType(OnnxMl.TypeProto.SparseTensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

mergeT(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

mergeTensorType(OnnxMl.TypeProto.Tensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

mergeType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

mergeUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

mergeValues(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

mergeValueType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

METADATA_PROPS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

MODEL_VERSION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

N

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ValueInfoProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

newBuilder(OnnxMl.AttributeProto) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.GraphProto

newBuilder(OnnxMl.GraphProto) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.ModelProto

newBuilder(OnnxMl.ModelProto) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.NodeProto

newBuilder(OnnxMl.NodeProto) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

newBuilder(OnnxMl.OperatorSetIdProto) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

newBuilder(OnnxMl.SparseTensorProto) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

newBuilder(OnnxMl.StringStringEntryProto) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

newBuilder(OnnxMl.TensorAnnotation) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TensorProto

newBuilder(OnnxMl.TensorProto) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

newBuilder(OnnxMl.TensorProto.Segment) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

newBuilder(OnnxMl.TensorShapeProto.Dimension) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

newBuilder(OnnxMl.TensorShapeProto) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

newBuilder(OnnxMl.TrainingInfoProto) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

newBuilder(OnnxMl.TypeProto.Map) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto

newBuilder(OnnxMl.TypeProto) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

newBuilder(OnnxMl.TypeProto.Opaque) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

newBuilder(OnnxMl.TypeProto.Sequence) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

newBuilder(OnnxMl.TypeProto.SparseTensor) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

newBuilder(OnnxMl.TypeProto.Tensor) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

newBuilder() - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

newBuilder(OnnxMl.ValueInfoProto) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.GraphProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.GraphProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.ModelProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.ModelProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.NodeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.NodeProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TensorProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

newBuilderForType() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.GraphProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.ModelProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.NodeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TensorProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

NODE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

O

OnnxMl - Class in ai.onnx.proto

OnnxMl.AttributeProto - Class in ai.onnx.proto

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

OnnxMl.AttributeProto.AttributeType - Enum in ai.onnx.proto

Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.

OnnxMl.AttributeProto.Builder - Class in ai.onnx.proto

Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.

OnnxMl.AttributeProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.GraphProto - Class in ai.onnx.proto

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

OnnxMl.GraphProto.Builder - Class in ai.onnx.proto

Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.

OnnxMl.GraphProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.ModelProto - Class in ai.onnx.proto

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

OnnxMl.ModelProto.Builder - Class in ai.onnx.proto

Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.

OnnxMl.ModelProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.NodeProto - Class in ai.onnx.proto

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

OnnxMl.NodeProto.Builder - Class in ai.onnx.proto

Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

OnnxMl.NodeProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.OperatorSetIdProto - Class in ai.onnx.proto

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

OnnxMl.OperatorSetIdProto.Builder - Class in ai.onnx.proto

Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.

OnnxMl.OperatorSetIdProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.SparseTensorProto - Class in ai.onnx.proto

A serialized sparse-tensor value

OnnxMl.SparseTensorProto.Builder - Class in ai.onnx.proto

A serialized sparse-tensor value

OnnxMl.SparseTensorProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.StringStringEntryProto - Class in ai.onnx.proto

StringStringEntryProto follows the pattern for cross-proto-version maps.

OnnxMl.StringStringEntryProto.Builder - Class in ai.onnx.proto

StringStringEntryProto follows the pattern for cross-proto-version maps.

OnnxMl.StringStringEntryProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.TensorAnnotation - Class in ai.onnx.proto

Protobuf type onnx.TensorAnnotation

OnnxMl.TensorAnnotation.Builder - Class in ai.onnx.proto

Protobuf type onnx.TensorAnnotation

OnnxMl.TensorAnnotationOrBuilder - Interface in ai.onnx.proto

OnnxMl.TensorProto - Class in ai.onnx.proto

Tensors A serialized tensor value.

OnnxMl.TensorProto.Builder - Class in ai.onnx.proto

Tensors A serialized tensor value.

OnnxMl.TensorProto.DataLocation - Enum in ai.onnx.proto

Location of the data for this tensor.

OnnxMl.TensorProto.DataType - Enum in ai.onnx.proto

Protobuf enum onnx.TensorProto.DataType

OnnxMl.TensorProto.Segment - Class in ai.onnx.proto

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

OnnxMl.TensorProto.Segment.Builder - Class in ai.onnx.proto

For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.

OnnxMl.TensorProto.SegmentOrBuilder - Interface in ai.onnx.proto

OnnxMl.TensorProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.TensorShapeProto - Class in ai.onnx.proto

Defines a tensor shape.

OnnxMl.TensorShapeProto.Builder - Class in ai.onnx.proto

Defines a tensor shape.

OnnxMl.TensorShapeProto.Dimension - Class in ai.onnx.proto

Protobuf type onnx.TensorShapeProto.Dimension

OnnxMl.TensorShapeProto.Dimension.Builder - Class in ai.onnx.proto

Protobuf type onnx.TensorShapeProto.Dimension

OnnxMl.TensorShapeProto.Dimension.ValueCase - Enum in ai.onnx.proto

OnnxMl.TensorShapeProto.DimensionOrBuilder - Interface in ai.onnx.proto

OnnxMl.TensorShapeProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.TrainingInfoProto - Class in ai.onnx.proto

Training information TrainingInfoProto stores information for training a model.

OnnxMl.TrainingInfoProto.Builder - Class in ai.onnx.proto

Training information TrainingInfoProto stores information for training a model.

OnnxMl.TrainingInfoProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto - Class in ai.onnx.proto

Types The standard ONNX data types.

OnnxMl.TypeProto.Builder - Class in ai.onnx.proto

Types The standard ONNX data types.

OnnxMl.TypeProto.Map - Class in ai.onnx.proto

map<K,V>

OnnxMl.TypeProto.Map.Builder - Class in ai.onnx.proto

map<K,V>

OnnxMl.TypeProto.MapOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto.Opaque - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.Opaque

OnnxMl.TypeProto.Opaque.Builder - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.Opaque

OnnxMl.TypeProto.OpaqueOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto.Sequence - Class in ai.onnx.proto

repeated T

OnnxMl.TypeProto.Sequence.Builder - Class in ai.onnx.proto

repeated T

OnnxMl.TypeProto.SequenceOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto.SparseTensor - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.SparseTensor

OnnxMl.TypeProto.SparseTensor.Builder - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.SparseTensor

OnnxMl.TypeProto.SparseTensorOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto.Tensor - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.Tensor

OnnxMl.TypeProto.Tensor.Builder - Class in ai.onnx.proto

Protobuf type onnx.TypeProto.Tensor

OnnxMl.TypeProto.TensorOrBuilder - Interface in ai.onnx.proto

OnnxMl.TypeProto.ValueCase - Enum in ai.onnx.proto

OnnxMl.TypeProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.ValueInfoProto - Class in ai.onnx.proto

Defines information on value, including the name, the type, and the shape of the value.

OnnxMl.ValueInfoProto.Builder - Class in ai.onnx.proto

Defines information on value, including the name, the type, and the shape of the value.

OnnxMl.ValueInfoProtoOrBuilder - Interface in ai.onnx.proto

OnnxMl.Version - Enum in ai.onnx.proto

Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.

OP_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

OPAQUE_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

OPSET_IMPORT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

OUTPUT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

OUTPUT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

P

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseDelimitedFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.GraphProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ModelProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.NodeProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

parseFrom(ByteBuffer) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(ByteString) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(ByteString, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(byte[]) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(byte[], ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(InputStream) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(InputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(CodedInputStream) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.AttributeProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.GraphProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.ModelProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.NodeProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.NodeProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.SparseTensorProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.SparseTensorProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.StringStringEntryProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TensorAnnotation

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TensorAnnotation

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TensorProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto.Segment

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TensorShapeProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TensorShapeProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TrainingInfoProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Map

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Map

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

PARSER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

PARSER - Static variable in class ai.onnx.proto.OnnxMl.ValueInfoProto

Deprecated.

parser() - Static method in class ai.onnx.proto.OnnxMl.ValueInfoProto

PRODUCER_NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

PRODUCER_VERSION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

Q

QUANT_PARAMETER_TENSOR_NAMES_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorAnnotation

QUANTIZATION_ANNOTATION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

R

RAW_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

REF_ATTR_NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

registerAllExtensions(ExtensionRegistryLite) - Static method in class ai.onnx.proto.OnnxMl

registerAllExtensions(ExtensionRegistry) - Static method in class ai.onnx.proto.OnnxMl

removeAttribute(int) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

removeDim(int) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

removeExternalData(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

removeGraphs(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

removeInitializationBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

removeInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

removeInput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

removeMetadataProps(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

removeNode(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

removeOpsetImport(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

removeOutput(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

removeQuantizationAnnotation(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

removeQuantParameterTensorNames(int) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

removeSparseInitializer(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

removeSparseTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

removeTensors(int) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

removeTrainingInfo(int) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

removeUpdateBinding(int) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

removeValueInfo(int) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

S

S_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

SEGMENT_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

setAlgorithm(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAlgorithm(OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field represents a training algorithm step.

setAttribute(int, OnnxMl.AttributeProto) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

setAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

Additional named attributes.

setBegin(long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 begin = 1;

setDataLocation(OnnxMl.TensorProto.DataLocation) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

If value not set, data is stored in raw_data (if set) otherwise in type-specified field.

setDataType(int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The data type of the tensor.

setDenotation(String) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotation(String) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDenotationBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

Standard denotation can optionally be used to denote tensor dimensions with standard semantic descriptions to ensure that operations are applied to the correct axis of a tensor.

setDenotationBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

An optional denotation can be used to denote the whole type with a standard semantic description as to what is stored inside.

setDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

repeated .onnx.TensorShapeProto.Dimension dim = 1;

setDimParam(String) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

setDimParamBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

namespace Shape

setDims(int, long) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The shape of the underlying dense-tensor: [dim_1, dim_2, ...

setDims(int, long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

The shape of the tensor.

setDimValue(long) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

int64 dim_value = 1;

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

setDocString(String) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

A human-readable documentation for this attribute.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A human-readable documentation for this graph.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

A human-readable documentation for this model.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

A human-readable documentation for this node.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

A human-readable documentation for this tensor.

setDocStringBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

A human-readable documentation for this value.

setDomain(String) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

setDomain(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomain(String) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomain(String) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

setDomainBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Domain name of the model.

setDomainBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The domain of the OperatorSet that specifies the operator named by op_type.

setDomainBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The domain of the operator set being identified.

setDomainBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

When missing, the domain is the same as the model's.

setDoubleData(int, double) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setElemType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(OnnxMl.TypeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

The type and optional shape of each element of the sequence.

setElemType(int) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setElemType(int) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

This field MUST NOT have the value of UNDEFINED This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setEnd(long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

optional int64 end = 2;

setExternalData(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setExternalData(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Data can be stored inside the protobuf file using type-specific fields or raw_data.

setF(float) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

Exactly ONE of the following fields must be present for this version of the IR

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

setField(Descriptors.FieldDescriptor, Object) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

setFloatData(int, float) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.

setFloats(int, float) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of floats

setG(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

setG(OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

graph

setGraph(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraph(OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The parameterized graph that is evaluated to execute the model.

setGraphs(int, OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

setGraphs(int, OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of graph

setI(long) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

int

setIndices(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setIndices(OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The indices of the non-default values, which may be stored in one of two formats.

setInitialization(OnnxMl.GraphProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitialization(OnnxMl.GraphProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field describes a graph to compute the initial tensors upon starting the training process.

setInitializationBinding(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializationBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

This field specifies the bindings from the outputs of "initialization" to some initializers in "ModelProto.graph.initializer" and the "algorithm.initializer" in the same TrainingInfoProto.

setInitializer(int, OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInitializer(int, OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

A list of named tensor values, used to specify constant inputs of the graph.

setInput(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

setInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The inputs and outputs of the graph.

setInput(int, String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

setInt32Data(int, int) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.

setInt64Data(int, long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For int64.

setInts(int, long) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of ints

setIrVersion(long) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the IR this model targets.

setKey(String) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

setKeyBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string key = 1;

setKeyType(int) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST have a valid TensorProto.DataType value This field MUST be present for this version of the IR.

setMapType(OnnxMl.TypeProto.Map) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

setMapType(OnnxMl.TypeProto.Map.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a map.

setMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

setMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Named metadata values; keys should be distinct.

setModelVersion(long) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the graph encoded.

setName(String) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setName(String) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

setName(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

setName(String) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

setName(String) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

setName(String) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The name field MUST be present for this version of the IR.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The name of the graph.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

An optional identifier for this node in a graph.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Optionally, a name for the tensor.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

The name is optional but significant when provided.

setNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR.

setNode(int, OnnxMl.NodeProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

setNode(int, OnnxMl.NodeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

The nodes in the graph, sorted topologically.

setOpaqueType(OnnxMl.TypeProto.Opaque) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

setOpaqueType(OnnxMl.TypeProto.Opaque.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.Opaque opaque_type = 7;

setOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

setOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The OperatorSets this model relies on.

setOpType(String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOpTypeBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

The symbolic identifier of the Operator to execute.

setOutput(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

repeated .onnx.ValueInfoProto output = 12;

setOutput(int, String) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

namespace Value

setProducerName(String) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The name of the framework or tool used to generate this model.

setProducerVersion(String) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

setProducerVersionBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

The version of the framework or tool used to generate this model.

setQuantizationAnnotation(int, OnnxMl.TensorAnnotation) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantizationAnnotation(int, OnnxMl.TensorAnnotation.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

This field carries information to indicate the mapping among a tensor and its quantization parameter tensors.

setQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setQuantParameterTensorNames(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

<key, value> pairs to annotate tensor specified by <tensor_name> above.

setRawData(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

Serializations can either use one of the fields above, or use this raw bytes field.

setRefAttrName(String) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setRefAttrNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

setS(ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

UTF-8 string

setSegment(OnnxMl.TensorProto.Segment) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

setSegment(OnnxMl.TensorProto.Segment.Builder) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

optional .onnx.TensorProto.Segment segment = 3;

setSequenceType(OnnxMl.TypeProto.Sequence) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

setSequenceType(OnnxMl.TypeProto.Sequence.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a sequence.

setShape(OnnxMl.TensorShapeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

optional .onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

setShape(OnnxMl.TensorShapeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

optional .onnx.TensorShapeProto shape = 2;

setSparseInitializer(int, OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseInitializer(int, OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Initializers (see above) stored in sparse format.

setSparseTensor(OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

setSparseTensor(OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

sparse tensor value

setSparseTensors(int, OnnxMl.SparseTensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

setSparseTensors(int, OnnxMl.SparseTensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of sparse tensors

setSparseTensorType(OnnxMl.TypeProto.SparseTensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

setSparseTensorType(OnnxMl.TypeProto.SparseTensor.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

.onnx.TypeProto.SparseTensor sparse_tensor_type = 8;

setStringData(int, ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For strings.

setStrings(int, ByteString) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of UTF-8 strings

setT(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

setT(OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

tensor value

setTensorName(String) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

setTensorNameBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

optional string tensor_name = 1;

setTensors(int, OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

setTensors(int, OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

list of tensors

setTensorType(OnnxMl.TypeProto.Tensor) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

setTensorType(OnnxMl.TypeProto.Tensor.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

The type of a tensor.

setTrainingInfo(int, OnnxMl.TrainingInfoProto) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

setTrainingInfo(int, OnnxMl.TrainingInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

Training-specific information.

setType(OnnxMl.AttributeProto.AttributeType) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

The type field MUST be present for this version of the IR.

setType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setType(OnnxMl.TypeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

This field MUST be present in this version of the IR for inputs and outputs of the top-level graph.

setUint64Data(int, long) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.AttributeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.ModelProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.NodeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor.Builder

setUnknownFields(UnknownFieldSet) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto.Builder

setUpdateBinding(int, OnnxMl.StringStringEntryProto) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setUpdateBinding(int, OnnxMl.StringStringEntryProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto.Builder

Gradient-based training is usually an iterative procedure.

setValue(String) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

setValueBytes(ByteString) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto.Builder

optional string value = 2;

setValueInfo(int, OnnxMl.ValueInfoProto) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

setValueInfo(int, OnnxMl.ValueInfoProto.Builder) - Method in class ai.onnx.proto.OnnxMl.GraphProto.Builder

Information for the values in the graph.

setValues(OnnxMl.TensorProto) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValues(OnnxMl.TensorProto.Builder) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto.Builder

The sequence of non-default values are encoded as a tensor of shape [NNZ].

setValueType(OnnxMl.TypeProto) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setValueType(OnnxMl.TypeProto.Builder) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map.Builder

This field MUST be present for this version of the IR.

setVersion(long) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto.Builder

The version of the operator set being identified.

SHAPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

SHAPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

SPARSE_INITIALIZER_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

SPARSE_TENSOR_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

SPARSE_TENSOR_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

SPARSE_TENSOR_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSOR = 11;

SPARSE_TENSORS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

SPARSE_TENSORS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

SPARSE_TENSORS = 12;

STRING_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

STRING_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

STRING = 3;

STRING_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

string

STRINGS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

STRINGS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

STRINGS = 8;

T

T_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

TENSOR_NAME_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorAnnotation

TENSOR_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto

TENSOR_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

TENSOR = 4;

TENSORS_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

TENSORS_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

TENSORS = 9;

toBuilder() - Method in class ai.onnx.proto.OnnxMl.AttributeProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.GraphProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.ModelProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.NodeProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

toBuilder() - Method in class ai.onnx.proto.OnnxMl.TypeProto

toBuilder() - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

TRAINING_INFO_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ModelProto

TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.AttributeProto

TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.ValueInfoProto

U

UINT16_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

uint16_t

UINT32_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

UINT32 = 12;

UINT64_DATA_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TensorProto

UINT64_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

UINT64 = 13;

UINT8_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

uint8_t

UNDEFINED_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

UNDEFINED = 0;

UNDEFINED_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

UNDEFINED = 0;

UPDATE_BINDING_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TrainingInfoProto

V

VALUE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.StringStringEntryProto

VALUE_INFO_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.GraphProto

VALUE_TYPE_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.TypeProto.Map

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

Deprecated.

Use OnnxMl.AttributeProto.AttributeType.forNumber(int) instead.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

Deprecated.

Use OnnxMl.TensorProto.DataLocation.forNumber(int) instead.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

Deprecated.

Use OnnxMl.TensorProto.DataType.forNumber(int) instead.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.ValueCase

Deprecated.

Use OnnxMl.TensorShapeProto.Dimension.ValueCase.forNumber(int) instead.

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.TypeProto.ValueCase

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.TypeProto.ValueCase

Deprecated.

Use OnnxMl.TypeProto.ValueCase.forNumber(int) instead.

valueOf(String) - Static method in enum ai.onnx.proto.OnnxMl.Version

Returns the enum constant of this type with the specified name.

valueOf(int) - Static method in enum ai.onnx.proto.OnnxMl.Version

Deprecated.

Use forNumber(int) instead.

valueOf(Descriptors.EnumValueDescriptor) - Static method in enum ai.onnx.proto.OnnxMl.Version

values() - Static method in enum ai.onnx.proto.OnnxMl.AttributeProto.AttributeType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataLocation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ai.onnx.proto.OnnxMl.TensorProto.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ai.onnx.proto.OnnxMl.TypeProto.ValueCase

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ai.onnx.proto.OnnxMl.Version

Returns an array containing the constants of this enum type, in the order they are declared.

VALUES_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.SparseTensorProto

VERSION_FIELD_NUMBER - Static variable in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

W

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.AttributeProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.GraphProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.ModelProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.NodeProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.OperatorSetIdProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.SparseTensorProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.StringStringEntryProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TensorAnnotation

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TensorProto.Segment

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TensorProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto.Dimension

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TensorShapeProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TrainingInfoProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Map

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Opaque

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Sequence

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto.SparseTensor

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto.Tensor

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.TypeProto

writeTo(CodedOutputStream) - Method in class ai.onnx.proto.OnnxMl.ValueInfoProto

_

_START_VERSION_VALUE - Static variable in enum ai.onnx.proto.OnnxMl.Version

proto3 requires the first enum value to be zero.

A B C D E F G H I K M N O P Q R S T U V W _