RemoteFusedGraphExecuteInfo.Builder

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public static final class RemoteFusedGraphExecuteInfo.Builder

 Protocol buffer representing a handle to a tensorflow resource. Handles are
 not valid across executions, but can be serialized back and forth from within
 a single run.
 
Protobuf type tensorflow.RemoteFusedGraphExecuteInfo

Public Methods

RemoteFusedGraphExecuteInfo.Builder
addAllDefaultGraphInputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto> values)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
addAllDefaultGraphOutputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto> values)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
addAllGraphInputNodeName(Iterable<String> values)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder
addAllGraphOutputNodeName(Iterable<String> values)
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphInputTensorShape(int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto value)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto value)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphInputTensorShape(int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
addDefaultGraphInputTensorShapeBuilder()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
addDefaultGraphInputTensorShapeBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphOutputTensorShape(int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto value)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto value)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
addDefaultGraphOutputTensorShape(int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
addDefaultGraphOutputTensorShapeBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
addDefaultGraphOutputTensorShapeBuilder()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
addGraphInputNodeName(String value)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder
addGraphInputNodeNameBytes(com.google.protobuf.ByteString value)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder
addGraphOutputNodeName(String value)
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder
addGraphOutputNodeNameBytes(com.google.protobuf.ByteString value)
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
RemoteFusedGraphExecuteInfo
build()
RemoteFusedGraphExecuteInfo
RemoteFusedGraphExecuteInfo.Builder
clear()
RemoteFusedGraphExecuteInfo.Builder
clearDefaultGraphInputTensorShape()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder
clearDefaultGraphOutputTensorShape()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.Builder
clearExecutorName()
 Executor's name
 
string executor_name = 4;
RemoteFusedGraphExecuteInfo.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
RemoteFusedGraphExecuteInfo.Builder
clearGraphInputNodeName()
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder
clearGraphOutputNodeName()
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
RemoteFusedGraphExecuteInfo.Builder
clearRemoteGraph()
 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;
RemoteFusedGraphExecuteInfo.Builder
clearSerializedExecutorParameters()
 Optional: Parameters given to the executor
 
bytes serialized_executor_parameters = 5;
RemoteFusedGraphExecuteInfo.Builder
clone()
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphInputTensorShape(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
getDefaultGraphInputTensorShapeBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
List<RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder>
getDefaultGraphInputTensorShapeBuilderList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
int
getDefaultGraphInputTensorShapeCount()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
List<RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>
getDefaultGraphInputTensorShapeList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphInputTensorShapeOrBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
List<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder>
getDefaultGraphInputTensorShapeOrBuilderList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphOutputTensorShape(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
getDefaultGraphOutputTensorShapeBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
List<RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder>
getDefaultGraphOutputTensorShapeBuilderList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
int
getDefaultGraphOutputTensorShapeCount()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
List<RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>
getDefaultGraphOutputTensorShapeList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphOutputTensorShapeOrBuilder(int index)
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
List<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder>
getDefaultGraphOutputTensorShapeOrBuilderList()
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 TODO(satok): Remote output tensor shape once shape information is stored
 in NodeDef
 
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
RemoteFusedGraphExecuteInfo
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
String
getExecutorName()
 Executor's name
 
string executor_name = 4;
com.google.protobuf.ByteString
getExecutorNameBytes()
 Executor's name
 
string executor_name = 4;
String
getGraphInputNodeName(int index)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
com.google.protobuf.ByteString
getGraphInputNodeNameBytes(int index)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
int
getGraphInputNodeNameCount()
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
com.google.protobuf.ProtocolStringList
getGraphInputNodeNameList()
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
String