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