Uses of Class
inference.GrpcPredictV2.ModelInferRequest.Builder
Packages that use GrpcPredictV2.ModelInferRequest.Builder
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Uses of GrpcPredictV2.ModelInferRequest.Builder in inference
Methods in inference that return GrpcPredictV2.ModelInferRequest.BuilderModifier and TypeMethodDescriptionGrpcPredictV2.ModelInferRequest.Builder.addAllInputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferInputTensor> values) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addAllOutputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor> values) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addAllRawInputContents(Iterable<? extends com.google.protobuf.ByteString> values) The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferRequest.Builder.addInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor value) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor value) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.addRawInputContents(com.google.protobuf.ByteString value) The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferRequest.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) GrpcPredictV2.ModelInferRequest.Builder.clear()GrpcPredictV2.ModelInferRequest.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) GrpcPredictV2.ModelInferRequest.Builder.clearId()Optional identifier for the request.GrpcPredictV2.ModelInferRequest.Builder.clearInputs()The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.clearModelName()The name of the model to use for inferencing.GrpcPredictV2.ModelInferRequest.Builder.clearModelVersion()The version of the model to use for inference.GrpcPredictV2.ModelInferRequest.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) GrpcPredictV2.ModelInferRequest.Builder.clearOutputs()The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.clearParameters()GrpcPredictV2.ModelInferRequest.Builder.clearRawInputContents()The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferRequest.Builder.clone()GrpcPredictV2.ModelInferRequest.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) GrpcPredictV2.ModelInferRequest.Builder.mergeFrom(com.google.protobuf.Message other) GrpcPredictV2.ModelInferRequest.Builder.mergeFrom(GrpcPredictV2.ModelInferRequest other) GrpcPredictV2.ModelInferRequest.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) GrpcPredictV2.ModelInferRequest.newBuilder()GrpcPredictV2.ModelInferRequest.newBuilder(GrpcPredictV2.ModelInferRequest prototype) GrpcPredictV2.ModelInferRequest.newBuilderForType()protected GrpcPredictV2.ModelInferRequest.BuilderGrpcPredictV2.ModelInferRequest.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) GrpcPredictV2.ModelInferRequest.Builder.putAllParameters(Map<String, GrpcPredictV2.InferParameter> values) Optional inference parameters.GrpcPredictV2.ModelInferRequest.Builder.putParameters(String key, GrpcPredictV2.InferParameter value) Optional inference parameters.GrpcPredictV2.ModelInferRequest.Builder.removeInputs(int index) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.removeOutputs(int index) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.removeParameters(String key) Optional inference parameters.GrpcPredictV2.ModelInferRequest.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) Optional identifier for the request.GrpcPredictV2.ModelInferRequest.Builder.setIdBytes(com.google.protobuf.ByteString value) Optional identifier for the request.GrpcPredictV2.ModelInferRequest.Builder.setInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor value) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.setInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue) The input tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.setModelName(String value) The name of the model to use for inferencing.GrpcPredictV2.ModelInferRequest.Builder.setModelNameBytes(com.google.protobuf.ByteString value) The name of the model to use for inferencing.GrpcPredictV2.ModelInferRequest.Builder.setModelVersion(String value) The version of the model to use for inference.GrpcPredictV2.ModelInferRequest.Builder.setModelVersionBytes(com.google.protobuf.ByteString value) The version of the model to use for inference.GrpcPredictV2.ModelInferRequest.Builder.setOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.setOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue) The requested output tensors for the inference.GrpcPredictV2.ModelInferRequest.Builder.setRawInputContents(int index, com.google.protobuf.ByteString value) The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferRequest.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) GrpcPredictV2.ModelInferRequest.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) GrpcPredictV2.ModelInferRequest.toBuilder() -
Uses of GrpcPredictV2.ModelInferRequest.Builder in org.apache.camel.component.kserve
Methods in org.apache.camel.component.kserve with parameters of type GrpcPredictV2.ModelInferRequest.BuilderModifier and TypeMethodDescriptionKServeConverter.toModelInferRequest(GrpcPredictV2.ModelInferRequest.Builder builder)