GraphOpCreationOrBuilder

antarmuka publik GraphOpCreationOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

CodeLocation abstrak
dapatkan KodeLokasi ()
 The unique ID for code location (stack trace) of the op's creation.
abstrak CodeLocationOrBuilder
dapatkanCodeLocationOrBuilder ()
 The unique ID for code location (stack trace) of the op's creation.
Tali abstrak
dapatkan NamaPerangkat ()
 Name of the device that the op is assigned to (if available).
abstrak com.google.protobuf.ByteString
dapatkanDeviceNameBytes ()
 Name of the device that the op is assigned to (if available).
Tali abstrak
dapatkanGraphId ()
 Unique ID of the graph (generated by debugger).
abstrak com.google.protobuf.ByteString
dapatkanGraphIdBytes ()
 Unique ID of the graph (generated by debugger).
Tali abstrak
dapatkanGraphName ()
 Name of the graph that the op is a part of (if available).
abstrak com.google.protobuf.ByteString
dapatkanGraphNameBytes ()
 Name of the graph that the op is a part of (if available).
Tali abstrak
getInputNames (indeks int)
 Names of the input tensors to the op.
abstrak com.google.protobuf.ByteString
getInputNamesBytes (indeks int)
 Names of the input tensors to the op.
abstrak ke dalam
dapatkanInputNamesCount ()
 Names of the input tensors to the op.
Daftar abstrak<String>
dapatkanDaftarNamaInput ()
 Names of the input tensors to the op.
abstrak ke dalam
dapatkanNumOutput ()
 Number of output tensors emitted by the op.
Tali abstrak
dapatkan NamaOp ()
 Name of the op (e.g., "Dense/MatMul_1").
abstrak com.google.protobuf.ByteString
dapatkanOpNameBytes ()
 Name of the op (e.g., "Dense/MatMul_1").
Tali abstrak
dapatkanOpType ()
 Type of the op (e.g., "MatMul").
abstrak com.google.protobuf.ByteString
dapatkanOpTypeBytes ()
 Type of the op (e.g., "MatMul").
abstrak ke dalam
getOutputTensorIds (indeks int)
 Unique IDs for the output tensors of this op.
abstrak ke dalam
dapatkanOutputTensorIdsCount ()
 Unique IDs for the output tensors of this op.
Daftar abstrak<Bilangan Bulat>
dapatkanOutputTensorIdsList ()
 Unique IDs for the output tensors of this op.
boolean abstrak
hasCodeLocation ()
 The unique ID for code location (stack trace) of the op's creation.

Metode Publik

CodeLocation abstrak publik getCodeLocation ()

 The unique ID for code location (stack trace) of the op's creation.
 
.tensorflow.CodeLocation code_location = 8;

abstrak publik CodeLocationOrBuilder getCodeLocationOrBuilder ()

 The unique ID for code location (stack trace) of the op's creation.
 
.tensorflow.CodeLocation code_location = 8;

String abstrak publik getDeviceName ()

 Name of the device that the op is assigned to (if available).
 
string device_name = 5;

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

 Name of the device that the op is assigned to (if available).
 
string device_name = 5;

String abstrak publik getGraphId ()

 Unique ID of the graph (generated by debugger).
 This is the ID of the immediately-enclosing graph.
 
string graph_id = 4;

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

 Unique ID of the graph (generated by debugger).
 This is the ID of the immediately-enclosing graph.
 
string graph_id = 4;

String abstrak publik getGraphName ()

 Name of the graph that the op is a part of (if available).
 
string graph_name = 3;

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

 Name of the graph that the op is a part of (if available).
 
string graph_name = 3;

String abstrak publik getInputNames (indeks int)

 Names of the input tensors to the op.
 
repeated string input_names = 6;

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

 Names of the input tensors to the op.
 
repeated string input_names = 6;

abstrak publik int getInputNamesCount ()

 Names of the input tensors to the op.
 
repeated string input_names = 6;

Daftar abstrak publik<String> getInputNamesList ()

 Names of the input tensors to the op.
 
repeated string input_names = 6;

abstrak publik int getNumOutputs ()

 Number of output tensors emitted by the op.
 
int32 num_outputs = 7;

String abstrak publik getOpName ()

 Name of the op (e.g., "Dense/MatMul_1").
 
string op_name = 2;

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

 Name of the op (e.g., "Dense/MatMul_1").
 
string op_name = 2;

String abstrak publik getOpType ()

 Type of the op (e.g., "MatMul").
 
string op_type = 1;

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

 Type of the op (e.g., "MatMul").
 
string op_type = 1;

abstrak publik int getOutputTensorIds (indeks int)

 Unique IDs for the output tensors of this op.
 
repeated int32 output_tensor_ids = 9;

abstrak publik int getOutputTensorIdsCount ()

 Unique IDs for the output tensors of this op.
 
repeated int32 output_tensor_ids = 9;

Daftar abstrak publik<Integer> getOutputTensorIdsList ()

 Unique IDs for the output tensors of this op.
 
repeated int32 output_tensor_ids = 9;

boolean abstrak publik hasCodeLocation ()

 The unique ID for code location (stack trace) of the op's creation.
 
.tensorflow.CodeLocation code_location = 8;