ExecutionOrBuilder

antarmuka publik ExecutionOrBuilder

Subkelas Tidak Langsung yang Diketahui Eksekusi , Eksekusi.Pembangun Eksekusi Data relating to the eager execution of an op or a Graph.  Eksekusi.Pembangun Data relating to the eager execution of an op or a Graph.

Metode Publik

CodeLocation abstrak	dapatkan KodeLokasi () Stack trace of the eager execution.
abstrak CodeLocationOrBuilder	dapatkanCodeLocationOrBuilder () Stack trace of the eager execution.
Tali abstrak	dapatkanGraphId () The graph that's executed: applicable only to the eager execution of a FuncGraph.
abstrak com.google.protobuf.ByteString	dapatkanGraphIdBytes () The graph that's executed: applicable only to the eager execution of a FuncGraph.
abstrak panjang	getInputTensorIds (indeks int) IDs of the input tensors (if available).
abstrak ke dalam	dapatkanInputTensorIdsCount () IDs of the input tensors (if available).
Daftar abstrak<Panjang>	dapatkanInputTensorIdsList () IDs of the input tensors (if available).
abstrak ke dalam	dapatkanNumOutput () Number of output tensors.
Tali abstrak	dapatkanOpType () Op type (e.g., "MatMul").
abstrak com.google.protobuf.ByteString	dapatkanOpTypeBytes () Op type (e.g., "MatMul").
abstrak ke dalam	getOutputTensorDeviceIds (indeks int) Debugged-generated IDs of the devices on which the output tensors reside.
abstrak ke dalam	dapatkanOutputTensorDeviceIdsCount () Debugged-generated IDs of the devices on which the output tensors reside.
Daftar abstrak<Bilangan Bulat>	dapatkanOutputTensorDeviceIdsList () Debugged-generated IDs of the devices on which the output tensors reside.
abstrak panjang	getOutputTensorIds (indeks int) IDs of the output tensors (if availbable).
abstrak ke dalam	dapatkanOutputTensorIdsCount () IDs of the output tensors (if availbable).
Daftar abstrak<Panjang>	dapatkanOutputTensorIdsList () IDs of the output tensors (if availbable).
TensorDebugMode abstrak	dapatkanTensorDebugMode () Type of the tensor value encapsulated in this proto.
abstrak ke dalam	dapatkanTensorDebugModeValue () Type of the tensor value encapsulated in this proto.
TensorProto abstrak	getTensorProtos (indeks int) Output Tensor values in the type described by `tensor_value_type`.
abstrak ke dalam	dapatkanTensorProtosCount () Output Tensor values in the type described by `tensor_value_type`.
Daftar abstrak< TensorProto >	dapatkanTensorProtosList () Output Tensor values in the type described by `tensor_value_type`.
TensorProtoOrBuilder abstrak	getTensorProtosOrBuilder (indeks int) Output Tensor values in the type described by `tensor_value_type`.
Daftar abstrak<? memperluas TensorProtoOrBuilder >	dapatkanTensorProtosOrBuilderList () Output Tensor values in the type described by `tensor_value_type`.
boolean abstrak	hasCodeLocation () Stack trace of the eager execution.

Metode Publik

CodeLocation abstrak publik getCodeLocation ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

abstrak publik CodeLocationOrBuilder getCodeLocationOrBuilder ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

String abstrak publik getGraphId ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

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

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

getInputTensorIds panjang abstrak publik (indeks int)

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

abstrak publik int getInputTensorIdsCount ()

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

Daftar abstrak publik<Panjang> getInputTensorIdsList ()

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

abstrak publik int getNumOutputs ()

 Number of output tensors.
 

int32 num_outputs = 2;

String abstrak publik getOpType ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

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

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

abstrak publik int getOutputTensorDeviceIds (indeks int)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

abstrak publik int getOutputTensorDeviceIdsCount ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

Daftar abstrak publik<Integer> getOutputTensorDeviceIdsList ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

getOutputTensorIds panjang abstrak publik (indeks int)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

abstrak publik int getOutputTensorIdsCount ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

Daftar abstrak publik<Panjang> getOutputTensorIdsList ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

abstrak publik TensorDebugMode getTensorDebugMode ()

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

abstrak publik int getTensorDebugModeValue ()

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

abstrak publik TensorProto getTensorProtos (indeks int)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

abstrak publik int getTensorProtosCount ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

Daftar abstrak publik< TensorProto > getTensorProtosList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

abstrak publik TensorProtoOrBuilder getTensorProtosOrBuilder (int indeks)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

Daftar abstrak publik<? memperluas TensorProtoOrBuilder > getTensorProtosOrBuilderList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

boolean abstrak publik hasCodeLocation ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;