Uses of Class
onnx.Onnx.TrainingInfoProto.Builder
Packages that use Onnx.TrainingInfoProto.Builder
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Uses of Onnx.TrainingInfoProto.Builder in onnx
Methods in onnx that return Onnx.TrainingInfoProto.BuilderModifier and TypeMethodDescriptionOnnx.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.TrainingInfoProto.Builder.addAllUpdateBinding(Iterable<? extends Onnx.StringStringEntryProto> values) Gradient-based training is usually an iterative procedure.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(int index, Onnx.StringStringEntryProto.Builder builderForValue) 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.TrainingInfoProto.Builder.addInitializationBinding(Onnx.StringStringEntryProto.Builder builderForValue) 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.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) Onnx.ModelProto.Builder.addTrainingInfoBuilder()Training-specific information.Onnx.ModelProto.Builder.addTrainingInfoBuilder(int index) Training-specific information.Onnx.TrainingInfoProto.Builder.addUpdateBinding(int index, Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.addUpdateBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.addUpdateBinding(Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.addUpdateBinding(Onnx.StringStringEntryProto.Builder builderForValue) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.clear()Onnx.TrainingInfoProto.Builder.clearAlgorithm()This field represents a training algorithm step.Onnx.TrainingInfoProto.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) Onnx.TrainingInfoProto.Builder.clearInitialization()This field describes a graph to compute the initial tensors upon starting the training process.Onnx.TrainingInfoProto.Builder.clearInitializationBinding()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.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) Onnx.TrainingInfoProto.Builder.clearUpdateBinding()Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.clone()Onnx.ModelProto.Builder.getTrainingInfoBuilder(int index) Training-specific information.Onnx.TrainingInfoProto.Builder.mergeAlgorithm(Onnx.GraphProto value) This field represents a training algorithm step.Onnx.TrainingInfoProto.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Onnx.TrainingInfoProto.Builder.mergeFrom(com.google.protobuf.Message other) Onnx.TrainingInfoProto.Builder.mergeFrom(Onnx.TrainingInfoProto other) Onnx.TrainingInfoProto.Builder.mergeInitialization(Onnx.GraphProto value) This field describes a graph to compute the initial tensors upon starting the training process.Onnx.TrainingInfoProto.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) Onnx.TrainingInfoProto.newBuilder()Onnx.TrainingInfoProto.newBuilder(Onnx.TrainingInfoProto prototype) Onnx.TrainingInfoProto.newBuilderForType()protected Onnx.TrainingInfoProto.BuilderOnnx.TrainingInfoProto.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) Onnx.TrainingInfoProto.Builder.removeInitializationBinding(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.Builder.removeUpdateBinding(int index) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.setAlgorithm(Onnx.GraphProto value) This field represents a training algorithm step.Onnx.TrainingInfoProto.Builder.setAlgorithm(Onnx.GraphProto.Builder builderForValue) This field represents a training algorithm step.Onnx.TrainingInfoProto.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) Onnx.TrainingInfoProto.Builder.setInitialization(Onnx.GraphProto value) This field describes a graph to compute the initial tensors upon starting the training process.Onnx.TrainingInfoProto.Builder.setInitialization(Onnx.GraphProto.Builder builderForValue) This field describes a graph to compute the initial tensors upon starting the training process.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.TrainingInfoProto.Builder.setInitializationBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue) 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.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) Onnx.TrainingInfoProto.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) Onnx.TrainingInfoProto.Builder.setUpdateBinding(int index, Onnx.StringStringEntryProto value) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.Builder.setUpdateBinding(int index, Onnx.StringStringEntryProto.Builder builderForValue) Gradient-based training is usually an iterative procedure.Onnx.TrainingInfoProto.toBuilder()Methods in onnx that return types with arguments of type Onnx.TrainingInfoProto.BuilderModifier and TypeMethodDescriptionOnnx.ModelProto.Builder.getTrainingInfoBuilderList()Training-specific information.Methods in onnx with parameters of type Onnx.TrainingInfoProto.BuilderModifier and TypeMethodDescriptionOnnx.ModelProto.Builder.addTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.Onnx.ModelProto.Builder.addTrainingInfo(Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.Onnx.ModelProto.Builder.setTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.