Uses of Interface
ai.onnx.proto.OnnxMl.StringStringEntryProtoOrBuilder
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Uses of OnnxMl.StringStringEntryProtoOrBuilder in ai.onnx.proto
Modifier and TypeClassDescriptionstatic final class
StringStringEntryProto follows the pattern for cross-proto-version maps.static final class
StringStringEntryProto follows the pattern for cross-proto-version maps.Modifier and TypeMethodDescriptionOnnxMl.TensorProto.Builder.getExternalDataOrBuilder
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.OnnxMl.TensorProto.getExternalDataOrBuilder
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.OnnxMl.TensorProtoOrBuilder.getExternalDataOrBuilder
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.OnnxMl.TrainingInfoProto.Builder.getInitializationBindingOrBuilder
(int index) 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.OnnxMl.TrainingInfoProto.getInitializationBindingOrBuilder
(int index) 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.OnnxMl.TrainingInfoProtoOrBuilder.getInitializationBindingOrBuilder
(int index) 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.OnnxMl.ModelProto.Builder.getMetadataPropsOrBuilder
(int index) Named metadata values; keys should be distinct.OnnxMl.ModelProto.getMetadataPropsOrBuilder
(int index) Named metadata values; keys should be distinct.OnnxMl.ModelProtoOrBuilder.getMetadataPropsOrBuilder
(int index) Named metadata values; keys should be distinct.OnnxMl.TensorAnnotation.Builder.getQuantParameterTensorNamesOrBuilder
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.OnnxMl.TensorAnnotation.getQuantParameterTensorNamesOrBuilder
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.OnnxMl.TensorAnnotationOrBuilder.getQuantParameterTensorNamesOrBuilder
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.OnnxMl.TrainingInfoProto.Builder.getUpdateBindingOrBuilder
(int index) Gradient-based training is usually an iterative procedure.OnnxMl.TrainingInfoProto.getUpdateBindingOrBuilder
(int index) Gradient-based training is usually an iterative procedure.OnnxMl.TrainingInfoProtoOrBuilder.getUpdateBindingOrBuilder
(int index) Gradient-based training is usually an iterative procedure.Modifier and TypeMethodDescriptionList<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorProto.Builder.getExternalDataOrBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorProto.getExternalDataOrBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorProtoOrBuilder.getExternalDataOrBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProto.Builder.getInitializationBindingOrBuilderList()
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.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProto.getInitializationBindingOrBuilderList()
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.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProtoOrBuilder.getInitializationBindingOrBuilderList()
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.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.ModelProto.Builder.getMetadataPropsOrBuilderList()
Named metadata values; keys should be distinct.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.ModelProto.getMetadataPropsOrBuilderList()
Named metadata values; keys should be distinct.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.ModelProtoOrBuilder.getMetadataPropsOrBuilderList()
Named metadata values; keys should be distinct.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorAnnotation.Builder.getQuantParameterTensorNamesOrBuilderList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorAnnotation.getQuantParameterTensorNamesOrBuilderList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TensorAnnotationOrBuilder.getQuantParameterTensorNamesOrBuilderList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProto.Builder.getUpdateBindingOrBuilderList()
Gradient-based training is usually an iterative procedure.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProto.getUpdateBindingOrBuilderList()
Gradient-based training is usually an iterative procedure.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>
OnnxMl.TrainingInfoProtoOrBuilder.getUpdateBindingOrBuilderList()
Gradient-based training is usually an iterative procedure.