Execution.Builder

Eksekusi.Builder kelas akhir statis publik

 Data relating to the eager execution of an op or a Graph.
 For a op that generates N output tensors (N >= 0), only one
 Execution proto will be used to describe the execution event.
Protobuf tipe tensorflow.Execution

Metode Publik

Eksekusi.Pembangun
addAllInputTensorIds (nilai Iterable<? extends Long>)
 IDs of the input tensors (if available).
Eksekusi.Pembangun
addAllOutputTensorDeviceIds (nilai Iterable<? extends Integer>)
 Debugged-generated IDs of the devices on which the output tensors reside.
Eksekusi.Pembangun
addAllOutputTensorIds (nilai Iterable<? extends Long>)
 IDs of the output tensors (if availbable).
Eksekusi.Pembangun
addAllTensorProtos (Nilai Iterable<? extends TensorProto >)
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
addInputTensorIds (nilai panjang)
 IDs of the input tensors (if available).
Eksekusi.Pembangun
addOutputTensorDeviceIds (nilai int)
 Debugged-generated IDs of the devices on which the output tensors reside.
Eksekusi.Pembangun
addOutputTensorIds (nilai panjang)
 IDs of the output tensors (if availbable).
Eksekusi.Pembangun
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Eksekusi.Pembangun
addTensorProtos (nilai TensorProto )
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
addTensorProtos ( TensorProto.Pembuat pembangunForValue)
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
addTensorProtos (indeks int, nilai TensorProto )
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
addTensorProtos (indeks int, TensorProto.Builder builderForValue)
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder
tambahkanTensorProtosBuilder ()
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder
addTensorProtosBuilder (indeks int)
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi
membangun ()
Eksekusi
membangunPartial ()
Eksekusi.Pembangun
jernih ()
Eksekusi.Pembangun
hapusCodeLocation ()
 Stack trace of the eager execution.
Eksekusi.Pembangun
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
Eksekusi.Pembangun
hapusGraphId ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
Eksekusi.Pembangun
hapusInputTensorIds ()
 IDs of the input tensors (if available).
Eksekusi.Pembangun
hapusNumOutput ()
 Number of output tensors.
Eksekusi.Pembangun
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Eksekusi.Pembangun
hapusOpType ()
 Op type (e.g., "MatMul").
Eksekusi.Pembangun
clearOutputTensorDeviceIds ()
 Debugged-generated IDs of the devices on which the output tensors reside.
Eksekusi.Pembangun
hapusOutputTensorIds ()
 IDs of the output tensors (if availbable).
Eksekusi.Pembangun
hapusTensorDebugMode ()
 Type of the tensor value encapsulated in this proto.
Eksekusi.Pembangun
hapusTensorProtos ()
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
klon ()
Lokasi Kode
dapatkan KodeLokasi ()
 Stack trace of the eager execution.
CodeLocation.Builder
dapatkanCodeLocationBuilder ()
 Stack trace of the eager execution.
CodeLocationOrBuilder
dapatkanCodeLocationOrBuilder ()
 Stack trace of the eager execution.
Eksekusi
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor
dapatkanDescriptorForType ()
Rangkaian
dapatkanGraphId ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
com.google.protobuf.ByteString
dapatkanGraphIdBytes ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
panjang
getInputTensorIds (indeks int)
 IDs of the input tensors (if available).
ke dalam
dapatkanInputTensorIdsCount ()
 IDs of the input tensors (if available).
Daftar<Panjang>
dapatkanInputTensorIdsList ()
 IDs of the input tensors (if available).
ke dalam
dapatkanNumOutput ()
 Number of output tensors.
Rangkaian
dapatkanOpType ()
 Op type (e.g., "MatMul").
com.google.protobuf.ByteString
dapatkanOpTypeBytes ()
 Op type (e.g., "MatMul").
ke dalam
getOutputTensorDeviceIds (indeks int)
 Debugged-generated IDs of the devices on which the output tensors reside.
ke dalam
dapatkanOutputTensorDeviceIdsCount ()
 Debugged-generated IDs of the devices on which the output tensors reside.
Daftar<Bilangan Bulat>
dapatkanOutputTensorDeviceIdsList ()
 Debugged-generated IDs of the devices on which the output tensors reside.
panjang
getOutputTensorIds (indeks int)
 IDs of the output tensors (if availbable).
ke dalam
dapatkanOutputTensorIdsCount ()
 IDs of the output tensors (if availbable).
Daftar<Panjang>
dapatkanOutputTensorIdsList ()
 IDs of the output tensors (if availbable).
TensorDebugMode
dapatkanTensorDebugMode ()
 Type of the tensor value encapsulated in this proto.
ke dalam
dapatkanTensorDebugModeValue ()
 Type of the tensor value encapsulated in this proto.
TensorProto
getTensorProtos (indeks int)
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder
getTensorProtosBuilder (indeks int)
 Output Tensor values in the type described by `tensor_value_type`.
Daftar< TensorProto.Builder >
dapatkanTensorProtosBuilderList ()
 Output Tensor values in the type described by `tensor_value_type`.
ke dalam
dapatkanTensorProtosCount ()
 Output Tensor values in the type described by `tensor_value_type`.
Daftar< TensorProto >
dapatkanTensorProtosList ()
 Output Tensor values in the type described by `tensor_value_type`.
TensorProtoOrBuilder
getTensorProtosOrBuilder (indeks int)
 Output Tensor values in the type described by `tensor_value_type`.
Daftar<? memperluas TensorProtoOrBuilder >
dapatkanTensorProtosOrBuilderList ()
 Output Tensor values in the type described by `tensor_value_type`.
boolean
hasCodeLocation ()
 Stack trace of the eager execution.
boolean terakhir
diinisialisasi ()
Eksekusi.Pembangun
mergeCodeLocation (nilai CodeLocation )
 Stack trace of the eager execution.
Eksekusi.Pembangun
mergeFrom (com.google.protobuf.Pesan lainnya)
Eksekusi.Pembangun
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Eksekusi akhir.Pembangun
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
Eksekusi.Pembangun
hapusTensorProtos (indeks int)
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
setCodeLocation (nilai CodeLocation )
 Stack trace of the eager execution.
Eksekusi.Pembangun
setCodeLocation ( CodeLocation.Pembuat pembangunForValue)
 Stack trace of the eager execution.
Eksekusi.Pembangun
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Eksekusi.Pembangun
setGraphId (Nilai string)
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
Eksekusi.Pembangun
setGraphIdBytes (nilai com.google.protobuf.ByteString)
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
Eksekusi.Pembangun
setInputTensorIds (indeks int, nilai panjang)
 IDs of the input tensors (if available).
Eksekusi.Pembangun
setNumOutputs (nilai int)
 Number of output tensors.
Eksekusi.Pembangun
setOpType (Nilai string)
 Op type (e.g., "MatMul").
Eksekusi.Pembangun
setOpTypeBytes (nilai com.google.protobuf.ByteString)
 Op type (e.g., "MatMul").
Eksekusi.Pembangun
setOutputTensorDeviceIds (indeks int, nilai int)
 Debugged-generated IDs of the devices on which the output tensors reside.
Eksekusi.Pembangun
setOutputTensorIds (indeks int, nilai panjang)
 IDs of the output tensors (if availbable).
Eksekusi.Pembangun
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
Eksekusi.Pembangun
setTensorDebugMode (nilai TensorDebugMode )
 Type of the tensor value encapsulated in this proto.
Eksekusi.Pembangun
setTensorDebugModeValue (nilai int)
 Type of the tensor value encapsulated in this proto.
Eksekusi.Pembangun
setTensorProtos (indeks int, nilai TensorProto )
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi.Pembangun
setTensorProtos (indeks int, TensorProto.Builder builderForValue)
 Output Tensor values in the type described by `tensor_value_type`.
Eksekusi akhir.Pembangun
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Metode Publik

public Execution.Builder addAllInputTensorIds (nilai Iterable<? extends Long>) 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

public Execution.Builder addAllOutputTensorDeviceIds (nilai Iterable<? extends Integer>) 

 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;

public Execution.Builder addAllOutputTensorIds (nilai Iterable<? extends Long>) 

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
repeated int64 output_tensor_ids = 5;

Eksekusi publik.Builder addAllTensorProtos (Nilai Iterable<? extends TensorProto >) 

 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;

public Execution.Builder addInputTensorIds (nilai panjang) 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

Eksekusi publik.Builder addOutputTensorDeviceIds (nilai 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;

public Execution.Builder addOutputTensorIds (nilai panjang) 

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
repeated int64 output_tensor_ids = 5;

public Execution.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

Eksekusi publik.Builder addTensorProtos (nilai TensorProto ) 

 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;

Eksekusi publik.Builder addTensorProtos ( TensorProto.Builder builderForValue) 

 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;

Eksekusi publik.Builder addTensorProtos (indeks int, nilai TensorProto ) 

 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;

Eksekusi publik.Builder addTensorProtos (indeks int, TensorProto.Builder buildForValue) 

 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;

TensorProto.Builder publik addTensorProtosBuilder () 

 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;

TensorProto.Builder publik addTensorProtosBuilder (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;

build Eksekusi publik ()

Eksekusi publik buildPartial ()

Eksekusi publik. Builder jelas ()

Eksekusi publik. Builder clearCodeLocation () 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

Eksekusi publik.Builder clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)

Eksekusi publik.Builder clearGraphId () 

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
string graph_id = 3;

Eksekusi publik.Builder clearInputTensorIds () 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

Eksekusi publik.Builder clearNumOutputs () 

 Number of output tensors.
int32 num_outputs = 2;

Eksekusi publik.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

Eksekusi publik.Builder clearOpType () 

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
string op_type = 1;

Eksekusi publik.Builder clearOutputTensorDeviceIds () 

 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;

Eksekusi publik.Builder clearOutputTensorIds () 

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
repeated int64 output_tensor_ids = 5;

Eksekusi publik.Builder clearTensorDebugMode () 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

Eksekusi publik.Builder clearTensorProtos () 

 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;

Eksekusi publik. Klon pembuat ()

CodeLocation publik getCodeLocation () 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

CodeLocation.Builder publik getCodeLocationBuilder () 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

CodeLocationOrBuilder publik getCodeLocationOrBuilder () 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

Eksekusi publik getDefaultInstanceForType ()

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

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

String publik getGraphId () 

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
string graph_id = 3;

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 publik (indeks int) 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

int publik getInputTensorIdsCount () 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

Daftar publik<Panjang> getInputTensorIdsList () 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

int publik getNumOutputs () 

 Number of output tensors.
int32 num_outputs = 2;

String publik getOpType () 

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
string op_type = 1;

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;

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;

int publik 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 publik<Bilangan Bulat> 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 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;

int publik 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 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;

TensorDebugMode publik getTensorDebugMode () 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

int publik getTensorDebugModeValue () 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

TensorProto publik 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;

TensorProto.Builder publik getTensorProtosBuilder (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 publik< TensorProto.Builder > getTensorProtosBuilderList () 

 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;

int publik 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 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;

TensorProtoOrBuilder publik 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 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;

hasCodeLocation boolean publik () 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

boolean akhir publik diinisialisasi ()

Eksekusi publik.Builder mergeCodeLocation (nilai CodeLocation ) 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

Eksekusi publik.Builder mergeFrom (com.google.protobuf.Message lainnya)

Eksekusi publik.Builder mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

Eksekusi akhir publik . Penggabungan pembangunUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Eksekusi publik.Builder hapusTensorProtos (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;

Eksekusi publik.Builder setCodeLocation (nilai CodeLocation ) 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

Eksekusi publik.Builder setCodeLocation ( CodeLocation.Builder builderForValue) 

 Stack trace of the eager execution.
.tensorflow.CodeLocation code_location = 8;

public Execution.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

Eksekusi publik.Builder setGraphId (Nilai string) 

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
string graph_id = 3;

Eksekusi publik.Builder setGraphIdBytes (nilai com.google.protobuf.ByteString) 

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
string graph_id = 3;

Eksekusi publik.Builder setInputTensorIds (indeks int, nilai panjang) 

 IDs of the input tensors (if available).
repeated int64 input_tensor_ids = 4;

Eksekusi publik.Builder setNumOutputs (nilai int) 

 Number of output tensors.
int32 num_outputs = 2;

Eksekusi publik.Builder setOpType (Nilai string) 

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
string op_type = 1;

Eksekusi publik.Builder setOpTypeBytes (nilai com.google.protobuf.ByteString) 

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
string op_type = 1;

Eksekusi publik.Builder setOutputTensorDeviceIds (indeks int, nilai 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;

Eksekusi publik.Builder setOutputTensorIds (indeks int, nilai panjang) 

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
repeated int64 output_tensor_ids = 5;

public Execution.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

Eksekusi publik.Builder setTensorDebugMode (nilai TensorDebugMode ) 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

Eksekusi publik.Builder setTensorDebugModeValue (nilai int) 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

Eksekusi publik.Builder setTensorProtos (indeks int, nilai TensorProto ) 

 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;

Eksekusi publik.Builder setTensorProtos (indeks int, TensorProto.Builder buildForValue) 

 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;

Eksekusi final publik.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)