Uses of Class
onnx.Onnx.StringStringEntryProto
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Uses of Onnx.StringStringEntryProto in onnx
Modifier and TypeFieldDescriptionstatic final com.google.protobuf.Parser<Onnx.StringStringEntryProto>
Onnx.StringStringEntryProto.PARSER
Deprecated.Modifier and TypeMethodDescriptionOnnx.StringStringEntryProto.Builder.build()
Onnx.StringStringEntryProto.Builder.buildPartial()
static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.getDefaultInstance()
Onnx.StringStringEntryProto.Builder.getDefaultInstanceForType()
Onnx.StringStringEntryProto.getDefaultInstanceForType()
Onnx.TensorProto.Builder.getExternalData
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TensorProto.getExternalData
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TensorProtoOrBuilder.getExternalData
(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TrainingInfoProto.Builder.getInitializationBinding
(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.Onnx.TrainingInfoProto.getInitializationBinding
(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.Onnx.TrainingInfoProtoOrBuilder.getInitializationBinding
(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.Onnx.ModelProto.Builder.getMetadataProps
(int index) Named metadata values; keys should be distinct.Onnx.ModelProto.getMetadataProps
(int index) Named metadata values; keys should be distinct.Onnx.ModelProtoOrBuilder.getMetadataProps
(int index) Named metadata values; keys should be distinct.Onnx.TensorAnnotation.Builder.getQuantParameterTensorNames
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TensorAnnotation.getQuantParameterTensorNames
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TensorAnnotationOrBuilder.getQuantParameterTensorNames
(int index) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TrainingInfoProto.Builder.getUpdateBinding
(int index) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.getUpdateBinding
(int index) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProtoOrBuilder.getUpdateBinding
(int index) Gradient-based training is usually an iterative procedure.static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseDelimitedFrom
(InputStream input) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseDelimitedFrom
(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(byte[] data) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(com.google.protobuf.ByteString data) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(com.google.protobuf.CodedInputStream input) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(InputStream input) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(ByteBuffer data) static Onnx.StringStringEntryProto
Onnx.StringStringEntryProto.parseFrom
(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Modifier and TypeMethodDescriptionOnnx.TensorProto.Builder.getExternalDataList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TensorProto.getExternalDataList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TensorProtoOrBuilder.getExternalDataList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TrainingInfoProto.Builder.getInitializationBindingList()
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.Onnx.TrainingInfoProto.getInitializationBindingList()
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.Onnx.TrainingInfoProtoOrBuilder.getInitializationBindingList()
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.Onnx.ModelProto.Builder.getMetadataPropsList()
Named metadata values; keys should be distinct.Onnx.ModelProto.getMetadataPropsList()
Named metadata values; keys should be distinct.Onnx.ModelProtoOrBuilder.getMetadataPropsList()
Named metadata values; keys should be distinct.com.google.protobuf.Parser<Onnx.StringStringEntryProto>
Onnx.StringStringEntryProto.getParserForType()
Onnx.TensorAnnotation.Builder.getQuantParameterTensorNamesList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TensorAnnotation.getQuantParameterTensorNamesList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TensorAnnotationOrBuilder.getQuantParameterTensorNamesList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TrainingInfoProto.Builder.getUpdateBindingList()
Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.getUpdateBindingList()
Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProtoOrBuilder.getUpdateBindingList()
Gradient-based training is usually an iterative procedure.static com.google.protobuf.Parser<Onnx.StringStringEntryProto>
Onnx.StringStringEntryProto.parser()
Modifier and TypeMethodDescriptionOnnx.TensorProto.Builder.addExternalData
(int index, Onnx.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TensorProto.Builder.addExternalData
(Onnx.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TrainingInfoProto.Builder.addInitializationBinding
(int index, Onnx.StringStringEntryProto value) 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.Onnx.TrainingInfoProto.Builder.addInitializationBinding
(Onnx.StringStringEntryProto value) 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.Onnx.ModelProto.Builder.addMetadataProps
(int index, Onnx.StringStringEntryProto value) Named metadata values; keys should be distinct.Onnx.ModelProto.Builder.addMetadataProps
(Onnx.StringStringEntryProto value) Named metadata values; keys should be distinct.Onnx.TensorAnnotation.Builder.addQuantParameterTensorNames
(int index, Onnx.StringStringEntryProto value) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TensorAnnotation.Builder.addQuantParameterTensorNames
(Onnx.StringStringEntryProto value) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TrainingInfoProto.Builder.addUpdateBinding
(int index, Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.addUpdateBinding
(Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Onnx.StringStringEntryProto.Builder.mergeFrom
(Onnx.StringStringEntryProto other) Onnx.StringStringEntryProto.newBuilder
(Onnx.StringStringEntryProto prototype) Onnx.TensorProto.Builder.setExternalData
(int index, Onnx.StringStringEntryProto value) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TrainingInfoProto.Builder.setInitializationBinding
(int index, Onnx.StringStringEntryProto value) 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.Onnx.ModelProto.Builder.setMetadataProps
(int index, Onnx.StringStringEntryProto value) Named metadata values; keys should be distinct.Onnx.TensorAnnotation.Builder.setQuantParameterTensorNames
(int index, Onnx.StringStringEntryProto value) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TrainingInfoProto.Builder.setUpdateBinding
(int index, Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Modifier and TypeMethodDescriptionOnnx.TensorProto.Builder.addAllExternalData
(Iterable<? extends Onnx.StringStringEntryProto> values) Data can be stored inside the protobuf file using type-specific fields or raw_data.Onnx.TrainingInfoProto.Builder.addAllInitializationBinding
(Iterable<? extends Onnx.StringStringEntryProto> values) 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.Onnx.ModelProto.Builder.addAllMetadataProps
(Iterable<? extends Onnx.StringStringEntryProto> values) Named metadata values; keys should be distinct.Onnx.TensorAnnotation.Builder.addAllQuantParameterTensorNames
(Iterable<? extends Onnx.StringStringEntryProto> values) <key, value> pairs to annotate tensor specified by <tensor_name> above.Onnx.TrainingInfoProto.Builder.addAllUpdateBinding
(Iterable<? extends Onnx.StringStringEntryProto> values) Gradient-based training is usually an iterative procedure.