Uses of Class
inference.GrpcPredictV2.ModelInferResponse.Builder
Packages that use GrpcPredictV2.ModelInferResponse.Builder
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Uses of GrpcPredictV2.ModelInferResponse.Builder in inference
Methods in inference that return GrpcPredictV2.ModelInferResponse.BuilderModifier and TypeMethodDescriptionGrpcPredictV2.ModelInferResponse.Builder.addAllOutputs(Iterable<? extends GrpcPredictV2.ModelInferResponse.InferOutputTensor> values) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.addAllRawOutputContents(Iterable<? extends com.google.protobuf.ByteString> values) The data contained in an output tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferResponse.Builder.addOutputs(int index, GrpcPredictV2.ModelInferResponse.InferOutputTensor value) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.addOutputs(int index, GrpcPredictV2.ModelInferResponse.InferOutputTensor.Builder builderForValue) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.addOutputs(GrpcPredictV2.ModelInferResponse.InferOutputTensor value) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.addOutputs(GrpcPredictV2.ModelInferResponse.InferOutputTensor.Builder builderForValue) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.addRawOutputContents(com.google.protobuf.ByteString value) The data contained in an output tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferResponse.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) GrpcPredictV2.ModelInferResponse.Builder.clear()GrpcPredictV2.ModelInferResponse.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) GrpcPredictV2.ModelInferResponse.Builder.clearId()The id of the inference request if one was specified.GrpcPredictV2.ModelInferResponse.Builder.clearModelName()The name of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.clearModelVersion()The version of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) GrpcPredictV2.ModelInferResponse.Builder.clearOutputs()The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.clearParameters()GrpcPredictV2.ModelInferResponse.Builder.clearRawOutputContents()The data contained in an output tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferResponse.Builder.clone()GrpcPredictV2.ModelInferResponse.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) GrpcPredictV2.ModelInferResponse.Builder.mergeFrom(com.google.protobuf.Message other) GrpcPredictV2.ModelInferResponse.Builder.mergeFrom(GrpcPredictV2.ModelInferResponse other) GrpcPredictV2.ModelInferResponse.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) GrpcPredictV2.ModelInferResponse.newBuilder()GrpcPredictV2.ModelInferResponse.newBuilder(GrpcPredictV2.ModelInferResponse prototype) GrpcPredictV2.ModelInferResponse.newBuilderForType()protected GrpcPredictV2.ModelInferResponse.BuilderGrpcPredictV2.ModelInferResponse.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) GrpcPredictV2.ModelInferResponse.Builder.putAllParameters(Map<String, GrpcPredictV2.InferParameter> values) Optional inference response parameters.GrpcPredictV2.ModelInferResponse.Builder.putParameters(String key, GrpcPredictV2.InferParameter value) Optional inference response parameters.GrpcPredictV2.ModelInferResponse.Builder.removeOutputs(int index) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.removeParameters(String key) Optional inference response parameters.GrpcPredictV2.ModelInferResponse.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) The id of the inference request if one was specified.GrpcPredictV2.ModelInferResponse.Builder.setIdBytes(com.google.protobuf.ByteString value) The id of the inference request if one was specified.GrpcPredictV2.ModelInferResponse.Builder.setModelName(String value) The name of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.setModelNameBytes(com.google.protobuf.ByteString value) The name of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.setModelVersion(String value) The version of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.setModelVersionBytes(com.google.protobuf.ByteString value) The version of the model used for inference.GrpcPredictV2.ModelInferResponse.Builder.setOutputs(int index, GrpcPredictV2.ModelInferResponse.InferOutputTensor value) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.setOutputs(int index, GrpcPredictV2.ModelInferResponse.InferOutputTensor.Builder builderForValue) The output tensors holding inference results.GrpcPredictV2.ModelInferResponse.Builder.setRawOutputContents(int index, com.google.protobuf.ByteString value) The data contained in an output tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.GrpcPredictV2.ModelInferResponse.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) GrpcPredictV2.ModelInferResponse.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) GrpcPredictV2.ModelInferResponse.toBuilder()