interfaz pública RemoteFusedGraphExecuteInfoOrBuilder
Subclases indirectas conocidas |
Métodos públicos
resumen RemoteFusedGraphExecuteInfo.TensorShapeTypeProto | getDefaultGraphInputTensorShape (índice int) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
int abstracto | getDefaultGraphInputTensorShapeCount () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
Lista abstracta < 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; |
resumen RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder | getDefaultGraphInputTensorShapeOrBuilder (índice int) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
Resumen Lista <? extiende 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; |
resumen RemoteFusedGraphExecuteInfo.TensorShapeTypeProto | getDefaultGraphOutputTensorShape (índice int) 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 abstracto | 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; |
Lista abstracta < 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; |
resumen RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder | getDefaultGraphOutputTensorShapeOrBuilder (índice int) 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; |
Resumen Lista <? extiende 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; |
cadena abstracta | getExecutorName () Executor's name string executor_name = 4; |
resumen com.google.protobuf.ByteString | getExecutorNameBytes () Executor's name string executor_name = 4; |
cadena abstracta | getGraphInputNodeName (índice int) Remote fused graph input node name repeated string graph_input_node_name = 2; |
resumen com.google.protobuf.ByteString | getGraphInputNodeNameBytes (índice int) Remote fused graph input node name repeated string graph_input_node_name = 2; |
int abstracto | getGraphInputNodeNameCount () Remote fused graph input node name repeated string graph_input_node_name = 2; |
Lista abstracta <String> | getGraphInputNodeNameList () Remote fused graph input node name repeated string graph_input_node_name = 2; |
cadena abstracta | getGraphOutputNodeName (índice int) Remote fused graph output node name repeated string graph_output_node_name = 3; |
resumen com.google.protobuf.ByteString | getGraphOutputNodeNameBytes (índice int) Remote fused graph output node name repeated string graph_output_node_name = 3; |
int abstracto | getGraphOutputNodeNameCount () Remote fused graph output node name repeated string graph_output_node_name = 3; |
Lista abstracta <String> | getGraphOutputNodeNameList () Remote fused graph output node name repeated string graph_output_node_name = 3; |
GraphDef abstracto | getRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
GraphDefOrBuilder abstracto | getRemoteGraphOrBuilder () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
resumen com.google.protobuf.ByteString | getSerializedExecutorParameters () Optional: Parameters given to the executor bytes serialized_executor_parameters = 5; |
booleano abstracto | hasRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
Métodos públicos
resumen público RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphInputTensorShape (índice int)
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;
Lista pública abstracta < 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;
resumen público RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphInputTensorShapeOrBuilder (índice int)
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
Lista de resumen público <? extiende 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;
resumen público RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphOutputTensorShape (índice int)
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;
Lista pública abstracta < 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;
resumen público RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphOutputTensorShapeOrBuilder (índice int)
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;
Lista de resumen público <? extiende 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;
cadena abstracta pública getExecutorName ()
Executor's name
string executor_name = 4;
resumen público com.google.protobuf.ByteString getExecutorNameBytes ()
Executor's name
string executor_name = 4;
cadena abstracta pública getGraphInputNodeName (índice int)
Remote fused graph input node name
repeated string graph_input_node_name = 2;
resumen público com.google.protobuf.ByteString getGraphInputNodeNameBytes (índice int)
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;
Lista pública abstracta <String> getGraphInputNodeNameList ()
Remote fused graph input node name
repeated string graph_input_node_name = 2;
cadena abstracta pública getGraphOutputNodeName (índice int)
Remote fused graph output node name
repeated string graph_output_node_name = 3;
resumen público com.google.protobuf.ByteString getGraphOutputNodeNameBytes (índice int)
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;
Lista pública abstracta <String> getGraphOutputNodeNameList ()
Remote fused graph output node name
repeated string graph_output_node_name = 3;
GraphDef abstracto público getRemoteGraph ()
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
público abstracto GraphDefOrBuilder getRemoteGraphOrBuilder ()
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
resumen público 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;