パブリック インターフェイスRemoteFusedGraphExecuteInfoOrBuilder
既知の間接サブクラス |
パブリックメソッド
抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProto | getDefaultGraphInputTensorShape (int インデックス) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
抽象整数 | getDefaultGraphInputTensorShapeCount () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
抽象リスト< 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; |
抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder | getDefaultGraphInputTensorShapeOrBuilder (int インデックス) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
抽象リスト<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilderを拡張します > | getDefaultGraphInputTensorShapeOrBuilderList () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProto | getDefaultGraphOutputTensorShape (int インデックス) 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; |
抽象整数 | 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; |
抽象リスト< 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; |
抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder | getDefaultGraphOutputTensorShapeOrBuilder (int インデックス) 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; |
抽象リスト<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilderを拡張します > | 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; |
抽象文字列 | getExecutorName () Executor's name string executor_name = 4; |
抽象的な com.google.protobuf.ByteString | getExecutorNameBytes () Executor's name string executor_name = 4; |
抽象文字列 | getGraphInputNodeName (int インデックス) Remote fused graph input node name repeated string graph_input_node_name = 2; |
抽象的な com.google.protobuf.ByteString | getGraphInputNodeNameBytes (int インデックス) Remote fused graph input node name repeated string graph_input_node_name = 2; |
抽象整数 | getGraphInputNodeNameCount () Remote fused graph input node name repeated string graph_input_node_name = 2; |
抽象リスト<String> | getGraphInputNodeNameList () Remote fused graph input node name repeated string graph_input_node_name = 2; |
抽象文字列 | getGraphOutputNodeName (int インデックス) Remote fused graph output node name repeated string graph_output_node_name = 3; |
抽象的な com.google.protobuf.ByteString | getGraphOutputNodeNameBytes (int インデックス) Remote fused graph output node name repeated string graph_output_node_name = 3; |
抽象整数 | getGraphOutputNodeNameCount () Remote fused graph output node name repeated string graph_output_node_name = 3; |
抽象リスト<String> | getGraphOutputNodeNameList () Remote fused graph output node name repeated string graph_output_node_name = 3; |
抽象的なグラフ定義 | getRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
抽象的なGraphDefOrBuilder | getRemoteGraphOrBuilder () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
抽象的な com.google.protobuf.ByteString | getSerializedExecutorParameters () Optional: Parameters given to the executor bytes serialized_executor_parameters = 5; |
抽象ブール値 | hasRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
パブリックメソッド
public abstract RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphInputTensorShape (int インデックス)
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;
パブリック抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphInputTensorShapeOrBuilder (int インデックス)
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
公開抄録リスト<? 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;
パブリック抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphOutputTensorShape (int インデックス)
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;
パブリック抽象RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphOutputTensorShapeOrBuilder (int インデックス)
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;
公開抄録リスト<? 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 インデックス)
Remote fused graph input node name
repeated string graph_input_node_name = 2;
public abstract com.google.protobuf.ByteString getGraphInputNodeNameBytes (int インデックス)
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 インデックス)
Remote fused graph output node name
repeated string graph_output_node_name = 3;
public abstract com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int インデックス)
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;
パブリック抽象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;