RemoteFusedGraphExecuteInfoOrBuilder

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public interface RemoteFusedGraphExecuteInfoOrBuilder
Known Indirect Subclasses

Public Methods

abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract 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;
abstract String
getExecutorName()
 Executor's name
 
string executor_name = 4;
abstract com.google.protobuf.ByteString
getExecutorNameBytes()
 Executor's name
 
string executor_name = 4;
abstract String
getGraphInputNodeName(int index)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
abstract com.google.protobuf.ByteString
getGraphInputNodeNameBytes(int index)
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
abstract int
getGraphInputNodeNameCount()
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
abstract List<String>
getGraphInputNodeNameList()
 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;
abstract String
getGraphOutputNodeName(int index)
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
abstract com.google.protobuf.ByteString
getGraphOutputNodeNameBytes(int index)
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
abstract int
getGraphOutputNodeNameCount()
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
abstract List<String>
getGraphOutputNodeNameList()
 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;
abstract GraphDef
getRemoteGraph()
 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;
abstract GraphDefOrBuilder
getRemoteGraphOrBuilder()
 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;
abstract com.google.protobuf.ByteString
getSerializedExecutorParameters()
 Optional: Parameters given to the executor
 
bytes serialized_executor_parameters = 5;
abstract boolean
hasRemoteGraph()
 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;

Public Methods

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract String getExecutorName ()

 Executor's name
 
string executor_name = 4;

public abstract com.google.protobuf.ByteString getExecutorNameBytes ()

 Executor's name
 
string executor_name = 4;

public abstract String getGraphInputNodeName (int index)

 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;

public abstract com.google.protobuf.ByteString getGraphInputNodeNameBytes (int index)

 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;

public abstract int getGraphInputNodeNameCount ()

 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;

public abstract List<String> getGraphInputNodeNameList ()

 Remote fused graph input node name
 
repeated string graph_input_node_name = 2;

public abstract String getGraphOutputNodeName (int index)

 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;

public abstract com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int index)

 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;

public abstract int getGraphOutputNodeNameCount ()

 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;

public abstract List<String> getGraphOutputNodeNameList ()

 Remote fused graph output node name
 
repeated string graph_output_node_name = 3;

public abstract GraphDef getRemoteGraph ()

 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;

public abstract GraphDefOrBuilder getRemoteGraphOrBuilder ()

 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;

public abstract com.google.protobuf.ByteString getSerializedExecutorParameters ()

 Optional: Parameters given to the executor
 
bytes serialized_executor_parameters = 5;

public abstract boolean hasRemoteGraph ()

 Definition of remote graph
 
.tensorflow.GraphDef remote_graph = 1;