RemoteFusedGraphExecuteInfo.Builder

genel statik son sınıf RemoteFusedGraphExecuteInfo.Builder

 Protocol buffer representing a handle to a tensorflow resource. Handles are
 not valid across executions, but can be serialized back and forth from within
 a single run.
 

Protobuf türü tensorflow.RemoteFusedGraphExecuteInfo

Genel Yöntemler

RemoteFusedGraphExecuteInfo.Builder	addAllDefaultGraphInputTensorShape (Yinelenebilir<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > değerleri genişletir) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	addAllDefaultGraphOutputTensorShape (Yinelenebilir<?, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > değerleri 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;
RemoteFusedGraphExecuteInfo.Builder	addAllGraphInputNodeName (Yinelenebilir<String> değerleri) Remote fused graph input node name repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder	addAllGraphOutputNodeName (Yinelenebilir<String> değerleri) Remote fused graph output node name repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphInputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphInputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	addDefaultGraphInputTensorShapeBuilder () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	addDefaultGraphInputTensorShapeBuilder (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;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) 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;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphOutputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) 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;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphOutputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) 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;
RemoteFusedGraphExecuteInfo.Builder	addDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) 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;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	addDefaultGraphOutputTensorShapeBuilder (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;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	addDefaultGraphOutputTensorShapeBuilder () 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;
RemoteFusedGraphExecuteInfo.Builder	addGraphInputNodeName (Dize değeri) Remote fused graph input node name repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder	addGraphInputNodeNameBytes (com.google.protobuf.ByteString değeri) Remote fused graph input node name repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder	addGraphOutputNodeName (Dize değeri) Remote fused graph output node name repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder	addGraphOutputNodeNameBytes (com.google.protobuf.ByteString değeri) Remote fused graph output node name repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
RemoteFusedGraphExecuteInfo	inşa etmek ()
RemoteFusedGraphExecuteInfo	inşaKısmi ()
RemoteFusedGraphExecuteInfo.Builder	temizlemek ()
RemoteFusedGraphExecuteInfo.Builder	clearDefaultGraphInputTensorShape () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	clearDefaultGraphOutputTensorShape () 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;
RemoteFusedGraphExecuteInfo.Builder	clearExecutorName () Executor's name string executor_name = 4;
RemoteFusedGraphExecuteInfo.Builder	clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı)
RemoteFusedGraphExecuteInfo.Builder	clearGraphInputNodeName () Remote fused graph input node name repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder	clearGraphOutputNodeName () Remote fused graph output node name repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
RemoteFusedGraphExecuteInfo.Builder	clearRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
RemoteFusedGraphExecuteInfo.Builder	clearSerializedExecutorParameters () Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
RemoteFusedGraphExecuteInfo.Builder	klon ()
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;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	getDefaultGraphInputTensorShapeBuilder (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;
Liste< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder >	getDefaultGraphInputTensorShapeBuilderList () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
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;
Liste< 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;
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;
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;
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;
RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder	getDefaultGraphOutputTensorShapeBuilder (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;
Liste< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder >	getDefaultGraphOutputTensorShapeBuilderList () 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	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;
Liste< 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;
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;
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;
RemoteFusedGraphExecuteInfo	getDefaultInstanceForType ()
final statik com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
Sicim	getExecutorName () Executor's name string executor_name = 4;
com.google.protobuf.ByteString	getExecutorNameBytes () Executor's name string executor_name = 4;
Sicim	getGraphInputNodeName (int dizini) Remote fused graph input node name repeated string graph_input_node_name = 2;
com.google.protobuf.ByteString	getGraphInputNodeNameBytes (int dizini) Remote fused graph input node name repeated string graph_input_node_name = 2;
int	getGraphInputNodeNameCount () Remote fused graph input node name repeated string graph_input_node_name = 2;
com.google.protobuf.ProtocolStringList	getGraphInputNodeNameList () Remote fused graph input node name repeated string graph_input_node_name = 2;
Sicim	getGraphOutputNodeName (int dizini) Remote fused graph output node name repeated string graph_output_node_name = 3;
com.google.protobuf.ByteString	getGraphOutputNodeNameBytes (int dizini) Remote fused graph output node name repeated string graph_output_node_name = 3;
int	getGraphOutputNodeNameCount () Remote fused graph output node name repeated string graph_output_node_name = 3;
com.google.protobuf.ProtocolStringList	getGraphOutputNodeNameList () Remote fused graph output node name repeated string graph_output_node_name = 3;
GrafikDef	getRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
GraphDef.Builder	getRemoteGraphBuilder () Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
GraphDefOrBuilder	getRemoteGraphOrBuilder () Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
com.google.protobuf.ByteString	getSerializedExecutorParameters () Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
boolean	hasRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
son boole değeri	Başlatıldı ()
RemoteFusedGraphExecuteInfo.Builder	mergeFrom (com.google.protobuf.Message other)
RemoteFusedGraphExecuteInfo.Builder	mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RemoteFusedGraphExecuteInfo.Builder	mergeRemoteGraph ( GraphDef değeri) Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
son RemoteFusedGraphExecuteInfo.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)
RemoteFusedGraphExecuteInfo.Builder	RemoveDefaultGraphInputTensorShape (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;
RemoteFusedGraphExecuteInfo.Builder	kaldırDefaultGraphOutputTensorShape (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;
RemoteFusedGraphExecuteInfo.Builder	setDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	setDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
RemoteFusedGraphExecuteInfo.Builder	setDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue) 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;
RemoteFusedGraphExecuteInfo.Builder	setDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri) 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;
RemoteFusedGraphExecuteInfo.Builder	setExecutorName (Dize değeri) Executor's name string executor_name = 4;
RemoteFusedGraphExecuteInfo.Builder	setExecutorNameBytes (com.google.protobuf.ByteString değeri) Executor's name string executor_name = 4;
RemoteFusedGraphExecuteInfo.Builder	setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
RemoteFusedGraphExecuteInfo.Builder	setGraphInputNodeName (int dizini, Dize değeri) Remote fused graph input node name repeated string graph_input_node_name = 2;
RemoteFusedGraphExecuteInfo.Builder	setGraphOutputNodeName (int dizini, Dize değeri) Remote fused graph output node name repeated string graph_output_node_name = 3;
RemoteFusedGraphExecuteInfo.Builder	setRemoteGraph ( GraphDef.Builder builderForValue) Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
RemoteFusedGraphExecuteInfo.Builder	setRemoteGraph ( GraphDef değeri) Definition of remote graph .tensorflow.GraphDef remote_graph = 1;
RemoteFusedGraphExecuteInfo.Builder	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
RemoteFusedGraphExecuteInfo.Builder	setSerializedExecutorParameters (com.google.protobuf.ByteString değeri) Optional: Parameters given to the executor bytes serialized_executor_parameters = 5;
son RemoteFusedGraphExecuteInfo.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmeyenFields)

Kalıtsal Yöntemler

Java.lang.Object sınıfından

boolean	eşittir (Nesne arg0)
son Sınıf<?>	getClass ()
int	hashKodu ()
son boşluk	bildir ()
son boşluk	tümünü bildir ()
Sicim	toString ()
son boşluk	bekle (uzun arg0, int arg1)
son boşluk	bekle (uzun arg0)
son boşluk	Beklemek ()

org.tensorflow.proto.framework.RemoteFusedGraphExecuteInfoOrBuilder arayüzünden

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

public RemoteFusedGraphExecuteInfo.Builder addAllDefaultGraphInputTensorShape (Yinelenebilir<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > değerlerini genişletir)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

public RemoteFusedGraphExecuteInfo.Builder addAllDefaultGraphOutputTensorShape (Yinelenebilir<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > değerlerini 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;

public RemoteFusedGraphExecuteInfo.Builder addAllGraphInputNodeName (Yinelenebilir<String> değerleri)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public RemoteFusedGraphExecuteInfo.Builder addAllGraphOutputNodeName (Yinelenebilir<String> değerleri)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel RemoteFusedGraphExecuteInfo.Builder addDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder addDefaultGraphInputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder addDefaultGraphInputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder addDefaultGraphInputTensorShape (int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder addDefaultGraphInputTensorShapeBuilder ()

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder addDefaultGraphInputTensorShapeBuilder (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 RemoteFusedGraphExecuteInfo.Builder addDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 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 RemoteFusedGraphExecuteInfo.Builder addDefaultGraphOutputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 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 RemoteFusedGraphExecuteInfo.Builder addDefaultGraphOutputTensorShape ( RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 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 RemoteFusedGraphExecuteInfo.Builder addDefaultGraphOutputTensorShape (int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 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 RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder addDefaultGraphOutputTensorShapeBuilder (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 RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder addDefaultGraphOutputTensorShapeBuilder ()

 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 RemoteFusedGraphExecuteInfo.Builder addGraphInputNodeName (Dize değeri)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

genel RemoteFusedGraphExecuteInfo.Builder addGraphInputNodeNameBytes (com.google.protobuf.ByteString değeri)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public RemoteFusedGraphExecuteInfo.Builder addGraphOutputNodeName (Dize değeri)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel RemoteFusedGraphExecuteInfo.Builder addGraphOutputNodeNameBytes (com.google.protobuf.ByteString değeri)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel RemoteFusedGraphExecuteInfo.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

genel RemoteFusedGraphExecuteInfo yapısı ()

genel RemoteFusedGraphExecuteInfo buildPartial ()

genel RemoteFusedGraphExecuteInfo.Builder clear ()

genel RemoteFusedGraphExecuteInfo.Builder clearDefaultGraphInputTensorShape ()

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder clearDefaultGraphOutputTensorShape ()

 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 RemoteFusedGraphExecuteInfo.Builder clearExecutorName ()

 Executor's name
 

string executor_name = 4;

genel RemoteFusedGraphExecuteInfo.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı)

genel RemoteFusedGraphExecuteInfo.Builder clearGraphInputNodeName ()

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

genel RemoteFusedGraphExecuteInfo.Builder clearGraphOutputNodeName ()

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel RemoteFusedGraphExecuteInfo.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

genel RemoteFusedGraphExecuteInfo.Builder clearRemoteGraph ()

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

public RemoteFusedGraphExecuteInfo.Builder clearSerializedExecutorParameters ()

 Optional: Parameters given to the executor
 

bytes serialized_executor_parameters = 5;

genel RemoteFusedGraphExecuteInfo.Builder klonu ()

genel 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 RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder getDefaultGraphInputTensorShapeBuilder (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 Liste< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder > getDefaultGraphInputTensorShapeBuilderList ()

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

public 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 Liste< 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 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;

genel liste<? 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 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;

genel RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder getDefaultGraphOutputTensorShapeBuilder (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 Liste< RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder > getDefaultGraphOutputTensorShapeBuilderList ()

 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 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 Liste< 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 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 liste<? 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 RemoteFusedGraphExecuteInfo getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

public String getExecutorName ()

 Executor's name
 

string executor_name = 4;

public com.google.protobuf.ByteString getExecutorNameBytes ()

 Executor's name
 

string executor_name = 4;

public String getGraphInputNodeName (int indeksi)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public com.google.protobuf.ByteString getGraphInputNodeNameBytes (int dizini)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public int getGraphInputNodeNameCount ()

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public com.google.protobuf.ProtocolStringList getGraphInputNodeNameList ()

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public String getGraphOutputNodeName (int indeksi)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

public com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int dizini)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

public int getGraphOutputNodeNameCount ()

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

public com.google.protobuf.ProtocolStringList getGraphOutputNodeNameList ()

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel GraphDef getRemoteGraph ()

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

genel GraphDef.Builder getRemoteGraphBuilder ()

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

genel GraphDefOrBuilder getRemoteGraphOrBuilder ()

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

public com.google.protobuf.ByteString getSerializedExecutorParameters ()

 Optional: Parameters given to the executor
 

bytes serialized_executor_parameters = 5;

genel boolean hasRemoteGraph ()

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

genel final boolean isInitialized ()

genel RemoteFusedGraphExecuteInfo.Builder mergeFrom (com.google.protobuf.Message other)

genel RemoteFusedGraphExecuteInfo.Builder mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar

IOİstisnası

genel RemoteFusedGraphExecuteInfo.Builder mergeRemoteGraph ( GraphDef değeri)

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

genel final RemoteFusedGraphExecuteInfo.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)

genel RemoteFusedGraphExecuteInfo.Builder kaldırDefaultGraphInputTensorShape (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 RemoteFusedGraphExecuteInfo.Builder kaldırDefaultGraphOutputTensorShape (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 RemoteFusedGraphExecuteInfo.Builder setDefaultGraphInputTensorShape (int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder setDefaultGraphInputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 Optional: Default graph input tensor shape used to allocate memory
 before executing op
 

repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;

genel RemoteFusedGraphExecuteInfo.Builder setDefaultGraphOutputTensorShape (int index, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder builderForValue)

 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 RemoteFusedGraphExecuteInfo.Builder setDefaultGraphOutputTensorShape (int dizini, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto değeri)

 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 RemoteFusedGraphExecuteInfo.Builder setExecutorName (Dize değeri)

 Executor's name
 

string executor_name = 4;

genel RemoteFusedGraphExecuteInfo.Builder setExecutorNameBytes (com.google.protobuf.ByteString değeri)

 Executor's name
 

string executor_name = 4;

genel RemoteFusedGraphExecuteInfo.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

public RemoteFusedGraphExecuteInfo.Builder setGraphInputNodeName (int dizini, Dize değeri)

 Remote fused graph input node name
 

repeated string graph_input_node_name = 2;

public RemoteFusedGraphExecuteInfo.Builder setGraphOutputNodeName (int dizini, Dize değeri)

 Remote fused graph output node name
 

repeated string graph_output_node_name = 3;

genel RemoteFusedGraphExecuteInfo.Builder setRemoteGraph ( GraphDef.Builder builderForValue)

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

genel RemoteFusedGraphExecuteInfo.Builder setRemoteGraph ( GraphDef değeri)

 Definition of remote graph
 

.tensorflow.GraphDef remote_graph = 1;

public RemoteFusedGraphExecuteInfo.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int indeksi, Nesne değeri)

genel RemoteFusedGraphExecuteInfo.Builder setSerializedExecutorParameters (com.google.protobuf.ByteString değeri)

 Optional: Parameters given to the executor
 

bytes serialized_executor_parameters = 5;

genel final RemoteFusedGraphExecuteInfo.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)