Package inference
Interface GrpcPredictV2.ModelInferResponse.InferOutputTensorOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
GrpcPredictV2.ModelInferResponse.InferOutputTensor,GrpcPredictV2.ModelInferResponse.InferOutputTensor.Builder
- Enclosing class:
GrpcPredictV2.ModelInferResponse
public static interface GrpcPredictV2.ModelInferResponse.InferOutputTensorOrBuilder
extends com.google.protobuf.MessageOrBuilder
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Method Summary
Modifier and TypeMethodDescriptionbooleancontainsParameters(String key) Optional output tensor parameters.The tensor contents using a data-type format.The tensor contents using a data-type format.The tensor data type.com.google.protobuf.ByteStringThe tensor data type.getName()The tensor name.com.google.protobuf.ByteStringThe tensor name.Deprecated.intOptional output tensor parameters.Optional output tensor parameters.getParametersOrDefault(String key, GrpcPredictV2.InferParameter defaultValue) Optional output tensor parameters.Optional output tensor parameters.longgetShape(int index) The tensor shape.intThe tensor shape.The tensor shape.booleanThe tensor contents using a data-type format.Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitializedMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getName
String getName()The tensor name.
string name = 1;- Returns:
- The name.
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getNameBytes
com.google.protobuf.ByteString getNameBytes()The tensor name.
string name = 1;- Returns:
- The bytes for name.
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getDatatype
String getDatatype()The tensor data type.
string datatype = 2;- Returns:
- The datatype.
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getDatatypeBytes
com.google.protobuf.ByteString getDatatypeBytes()The tensor data type.
string datatype = 2;- Returns:
- The bytes for datatype.
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getShapeList
The tensor shape.
repeated int64 shape = 3;- Returns:
- A list containing the shape.
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getShapeCount
int getShapeCount()The tensor shape.
repeated int64 shape = 3;- Returns:
- The count of shape.
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getShape
long getShape(int index) The tensor shape.
repeated int64 shape = 3;- Parameters:
index- The index of the element to return.- Returns:
- The shape at the given index.
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getParametersCount
int getParametersCount()Optional output tensor parameters.
map<string, .inference.InferParameter> parameters = 4; -
containsParameters
Optional output tensor parameters.
map<string, .inference.InferParameter> parameters = 4; -
getParameters
Deprecated.UsegetParametersMap()instead. -
getParametersMap
Map<String,GrpcPredictV2.InferParameter> getParametersMap()Optional output tensor parameters.
map<string, .inference.InferParameter> parameters = 4; -
getParametersOrDefault
GrpcPredictV2.InferParameter getParametersOrDefault(String key, GrpcPredictV2.InferParameter defaultValue) Optional output tensor parameters.
map<string, .inference.InferParameter> parameters = 4; -
getParametersOrThrow
Optional output tensor parameters.
map<string, .inference.InferParameter> parameters = 4; -
hasContents
boolean hasContents()The tensor contents using a data-type format. This field must not be specified if "raw" tensor contents are being used for the inference response.
.inference.InferTensorContents contents = 5;- Returns:
- Whether the contents field is set.
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getContents
GrpcPredictV2.InferTensorContents getContents()The tensor contents using a data-type format. This field must not be specified if "raw" tensor contents are being used for the inference response.
.inference.InferTensorContents contents = 5;- Returns:
- The contents.
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getContentsOrBuilder
GrpcPredictV2.InferTensorContentsOrBuilder getContentsOrBuilder()The tensor contents using a data-type format. This field must not be specified if "raw" tensor contents are being used for the inference response.
.inference.InferTensorContents contents = 5;
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