RemoteFusedGraphExecuteInfoOrBuilder

genel arayüz RemoteFusedGraphExecuteInfoOrBuilder
Bilinen Dolaylı Alt Sınıflar

Genel Yöntemler

özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphInputTensorShape (int dizini) 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
soyut 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;
özet Listesi< 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;
özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphInputTensorShapeOrBuilder (int dizini) 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
özet Liste<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder'ı genişletir >
getDefaultGraphInputTensorShapeOrBuilderList () 
 Optional: Default graph input tensor shape used to allocate memory
 before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
getDefaultGraphOutputTensorShape (int dizini) 
 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;
soyut 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;
özet Listesi< 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;
özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder
getDefaultGraphOutputTensorShapeOrBuilder (int dizini) 
 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;
özet Liste<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder'ı genişletir >
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;
soyut Dize
getExecutorName () 
 Executor's name
string executor_name = 4;
abstract com.google.protobuf.ByteString
getExecutorNameBytes () 
 Executor's name
string executor_name = 4;
soyut Dize
getGraphInputNodeName (int dizini) 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
abstract com.google.protobuf.ByteString
getGraphInputNodeNameBytes (int dizini) 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
soyut int
getGraphInputNodeNameCount () 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
özet Liste<String>
getGraphInputNodeNameList () 
 Remote fused graph input node name
repeated string graph_input_node_name = 2;
soyut Dize
getGraphOutputNodeName (int dizini) 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
abstract com.google.protobuf.ByteString
getGraphOutputNodeNameBytes (int dizini) 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
soyut int
getGraphOutputNodeNameCount () 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
özet Liste<String>
getGraphOutputNodeNameList () 
 Remote fused graph output node name
repeated string graph_output_node_name = 3;
soyut GrafikDef
getRemoteGraph () 
 Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;
soyut 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;
soyut boole
hasRemoteGraph () 
 Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;

Genel Yöntemler

genel özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphInputTensorShape (int dizini) 

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

genel özet 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;

genel özet Listesi< 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;

genel özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphInputTensorShapeOrBuilder (int indeksi) 

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

genel özet listesi<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > getDefaultGraphInputTensorShapeOrBuilderList () öğesini genişletir 

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

genel özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphOutputTensorShape (int indeksi) 

 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;

genel özet 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;

genel özet Listesi< 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;

genel özet RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphOutputTensorShapeOrBuilder (int indeksi) 

 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;

genel özet listesi<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > getDefaultGraphOutputTensorShapeOrBuilderList () öğesini genişletir 

 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;

genel özet Dize getExecutorName () 

 Executor's name
string executor_name = 4;

genel özet com.google.protobuf.ByteString getExecutorNameBytes () 

 Executor's name
string executor_name = 4;

genel özet Dize getGraphInputNodeName (int dizini) 

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

genel özet com.google.protobuf.ByteString getGraphInputNodeNameBytes (int dizini) 

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

genel özet int getGraphInputNodeNameCount () 

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

genel özet Listesi<String> getGraphInputNodeNameList () 

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

genel özet Dize getGraphOutputNodeName (int dizini) 

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

genel özet com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int dizini) 

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

genel özet int getGraphOutputNodeNameCount () 

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

genel özet Listesi<String> getGraphOutputNodeNameList () 

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

genel özet GraphDef getRemoteGraph () 

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

genel özet GraphDefOrBuilder getRemoteGraphOrBuilder () 

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

genel özet com.google.protobuf.ByteString getSerializedExecutorParameters () 

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

genel soyut boolean hasRemoteGraph () 

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