RemoteFusedGraphExecuteInfoOrBuilder

antarmuka publik RemoteFusedGraphExecuteInfoOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphInputTensorShape (indeks int) 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
abstrak ke dalam
getDefaultGraphInputTensorShapeCount () 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
Daftar abstrak< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto >
dapatkanDefaultGraphInputTensorShapeList () 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
abstrak RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphInputTensorShapeOrBuilder (indeks int) 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
Daftar abstrak<? memperluas 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;
abstrak RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphOutputTensorShape (indeks 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;
abstrak ke dalam
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;
Daftar abstrak< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto >
dapatkanDefaultGraphOutputTensorShapeList () 
 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;
abstrak RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphOutputTensorShapeOrBuilder (indeks 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;
Daftar abstrak<? memperluas RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder >
dapatkanDefaultGraphOutputTensorShapeOrBuilderList () 
 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;
Tali abstrak
dapatkan NamaPelaksana () 
 Executor's name
string executor_name = 4;
abstrak com.google.protobuf.ByteString
dapatkanExecutorNameBytes () 
 Executor's name
string executor_name = 4;
Tali abstrak
getGraphInputNodeName (indeks int) 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
abstrak com.google.protobuf.ByteString
getGraphInputNodeNameBytes (indeks int) 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
abstrak ke dalam
getGraphInputNodeNameCount () 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
Daftar abstrak<String>
dapatkanGraphInputNodeNameList () 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
Tali abstrak
getGraphOutputNodeName (indeks int) 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
abstrak com.google.protobuf.ByteString
getGraphOutputNodeNameBytes (indeks int) 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
abstrak ke dalam
dapatkanGraphOutputNodeNameCount () 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
Daftar abstrak<String>
dapatkanGraphOutputNodeNameList () 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
abstrak GraphDef
dapatkanRemoteGraph () 
 Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
abstrak GraphDefOrBuilder
dapatkanRemoteGraphOrBuilder () 
 Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
abstrak com.google.protobuf.ByteString
dapatkanSerializedExecutorParameters () 
 Optional: Parameters given to the executor
bytes serialized_executor_parameters = 5;
boolean abstrak
memilikiRemoteGraph () 
 Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;

Metode Publik

abstrak publik RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphInputTensorShape (int indeks) 

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

abstrak publik 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;

Daftar abstrak publik< 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;

abstrak publik RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphInputTensorShapeOrBuilder (indeks int) 

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

Daftar abstrak publik<? memperluas 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;

abstrak publik RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphOutputTensorShape (int indeks) 

 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;

abstrak publik 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;

Daftar abstrak publik< 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;

abstrak publik RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphOutputTensorShapeOrBuilder (indeks 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;

Daftar abstrak publik<? memperluas 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;

String abstrak publik getExecutorName () 

 Executor's name
string executor_name = 4;

abstrak publik com.google.protobuf.ByteString getExecutorNameBytes () 

 Executor's name
string executor_name = 4;

String abstrak publik getGraphInputNodeName (indeks int) 

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

abstrak publik com.google.protobuf.ByteString getGraphInputNodeNameBytes (int indeks) 

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

abstrak publik int getGraphInputNodeNameCount () 

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

Daftar abstrak publik<String> getGraphInputNodeNameList () 

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

String abstrak publik getGraphOutputNodeName (indeks int) 

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

abstrak publik com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int indeks) 

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

abstrak publik int getGraphOutputNodeNameCount () 

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

Daftar abstrak publik<String> getGraphOutputNodeNameList () 

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

abstrak publik GraphDef getRemoteGraph () 

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

abstrak publik GraphDefOrBuilder getRemoteGraphOrBuilder () 

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

abstrak publik com.google.protobuf.ByteString getSerializedExecutorParameters () 

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

boolean abstrak publik hasRemoteGraph () 

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