Package com.viam.service.mlmodel.v1
Class Mlmodel.InferRequest.Builder
java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder<MessageType,BuilderType>
com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.InferRequest,Mlmodel.InferRequest.Builder>
com.viam.service.mlmodel.v1.Mlmodel.InferRequest.Builder
- All Implemented Interfaces:
com.google.protobuf.MessageLite.Builder
,com.google.protobuf.MessageLiteOrBuilder
,Mlmodel.InferRequestOrBuilder
,Cloneable
- Enclosing class:
- Mlmodel.InferRequest
public static final class Mlmodel.InferRequest.Builder
extends com.google.protobuf.GeneratedMessageLite.Builder<Mlmodel.InferRequest,Mlmodel.InferRequest.Builder>
implements Mlmodel.InferRequestOrBuilder
Protobuf type
viam.service.mlmodel.v1.InferRequest
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Field Summary
Fields inherited from class com.google.protobuf.GeneratedMessageLite.Builder
instance
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Method Summary
Modifier and TypeMethodDescriptionAdditional arguments to the methodthe input data is provided as set of named flat tensorsname of the model servicecom.google.protobuf.Struct
getExtra()
Additional arguments to the methodthe input data is provided as set of named flat tensorsgetName()
name of the model servicecom.google.protobuf.ByteString
name of the model serviceboolean
hasExtra()
Additional arguments to the methodboolean
the input data is provided as set of named flat tensorsmergeExtra
(com.google.protobuf.Struct value) Additional arguments to the methodthe input data is provided as set of named flat tensorssetExtra
(com.google.protobuf.Struct value) Additional arguments to the methodsetExtra
(com.google.protobuf.Struct.Builder builderForValue) Additional arguments to the methodthe input data is provided as set of named flat tensorssetInputTensors
(Mlmodel.FlatTensors.Builder builderForValue) the input data is provided as set of named flat tensorsname of the model servicesetNameBytes
(com.google.protobuf.ByteString value) name of the model serviceMethods inherited from class com.google.protobuf.GeneratedMessageLite.Builder
build, buildPartial, clear, clone, copyOnWrite, copyOnWriteInternal, getDefaultInstanceForType, internalMergeFrom, isInitialized, mergeFrom, mergeFrom, mergeFrom, mergeFrom
Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType, isInitialized
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Method Details
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getName
name of the model service
string name = 1 [json_name = "name"];
- Specified by:
getName
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- The name.
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getNameBytes
public com.google.protobuf.ByteString getNameBytes()name of the model service
string name = 1 [json_name = "name"];
- Specified by:
getNameBytes
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- The bytes for name.
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setName
name of the model service
string name = 1 [json_name = "name"];
- Parameters:
value
- The name to set.- Returns:
- This builder for chaining.
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clearName
name of the model service
string name = 1 [json_name = "name"];
- Returns:
- This builder for chaining.
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setNameBytes
name of the model service
string name = 1 [json_name = "name"];
- Parameters:
value
- The bytes for name to set.- Returns:
- This builder for chaining.
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hasInputTensors
public boolean hasInputTensors()the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
- Specified by:
hasInputTensors
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- Whether the inputTensors field is set.
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getInputTensors
the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
- Specified by:
getInputTensors
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- The inputTensors.
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setInputTensors
the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
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setInputTensors
the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
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mergeInputTensors
the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
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clearInputTensors
the input data is provided as set of named flat tensors
.viam.service.mlmodel.v1.FlatTensors input_tensors = 3 [json_name = "inputTensors"];
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hasExtra
public boolean hasExtra()Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
- Specified by:
hasExtra
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- Whether the extra field is set.
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getExtra
public com.google.protobuf.Struct getExtra()Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
- Specified by:
getExtra
in interfaceMlmodel.InferRequestOrBuilder
- Returns:
- The extra.
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setExtra
Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
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setExtra
Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
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mergeExtra
Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
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clearExtra
Additional arguments to the method
.google.protobuf.Struct extra = 99 [json_name = "extra"];
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