MemoryLogTensorOutput.Builder

kelas akhir statis publik MemoryLogTensorOutput.Builder

Tipe protobuf tensorflow.MemoryLogTensorOutput

Metode Publik

MemoryLogTensorOutput.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Keluaran MemoryLogTensor	membangun ()
Keluaran MemoryLogTensor	membangunPartial ()
MemoryLogTensorOutput.Builder	jernih ()
MemoryLogTensorOutput.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
MemoryLogTensorOutput.Builder	hapusIndeks () Index of the output being set.
MemoryLogTensorOutput.Builder	hapus Nama Kernel () Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
MemoryLogTensorOutput.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu)
MemoryLogTensorOutput.Builder	hapusLangkahId () Process-unique step id.
MemoryLogTensorOutput.Builder	hapus Tensor () Output tensor details.
MemoryLogTensorOutput.Builder	klon ()
Keluaran MemoryLogTensor	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
ke dalam	dapatkanIndeks () Index of the output being set.
Rangkaian	dapatkan Nama Kernel () Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
com.google.protobuf.ByteString	dapatkanKernelNameBytes () Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
panjang	dapatkanStepId () Process-unique step id.
Deskripsi Tensor	dapatkan Tensor () Output tensor details.
TensorDescription.Builder	dapatkanTensorBuilder () Output tensor details.
TensorDescriptionOrBuilder	dapatkanTensorOrBuilder () Output tensor details.
boolean	memiliki Tensor () Output tensor details.
boolean terakhir	diinisialisasi ()
MemoryLogTensorOutput.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
MemoryLogTensorOutput.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
MemoryLogTensorOutput.Builder	mergeTensor (nilai TensorDescription ) Output tensor details.
MemoryLogTensorOutput.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
MemoryLogTensorOutput.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
MemoryLogTensorOutput.Builder	setIndex (nilai int) Index of the output being set.
MemoryLogTensorOutput.Builder	setKernelName (Nilai string) Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
MemoryLogTensorOutput.Builder	setKernelNameBytes (nilai com.google.protobuf.ByteString) Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
MemoryLogTensorOutput.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
MemoryLogTensorOutput.Builder	setStepId (nilai panjang) Process-unique step id.
MemoryLogTensorOutput.Builder	setTensor ( TensorDescription.Pembuat pembangunForValue) Output tensor details.
MemoryLogTensorOutput.Builder	setTensor (nilai TensorDescription ) Output tensor details.
MemoryLogTensorOutput.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	memberitahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.MemoryLogTensorOutputOrBuilder

abstrak ke dalam	dapatkanIndeks () Index of the output being set.
Tali abstrak	dapatkan Nama Kernel () Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
abstrak com.google.protobuf.ByteString	dapatkanKernelNameBytes () Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
abstrak panjang	dapatkanStepId () Process-unique step id.
Deskripsi Tensor abstrak	dapatkan Tensor () Output tensor details.
abstrak TensorDescriptionOrBuilder	dapatkanTensorOrBuilder () Output tensor details.
boolean abstrak	memiliki Tensor () Output tensor details.

Metode Publik

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

build MemoryLogTensorOutput publik ()

MemoryLogTensorOutput publik buildPartial ()

MemoryLogTensorOutput.Builder publik jelas ()

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

MemoryLogTensorOutput publik.Builder clearIndex ()

indeks

 Index of the output being set.
 

int32 index = 3;

MemoryLogTensorOutput.Builder publik clearKernelName ()

 Name of the kernel producing an output as set in GraphDef, e.g.,
 "affine2/weights/Assign".
 

string kernel_name = 2;

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

MemoryLogTensorOutput.Builder publik clearStepId ()

 Process-unique step id.
 

int64 step_id = 1;

MemoryLogTensorOutput publik.Builder clearTensor ()

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

Klon MemoryLogTensorOutput.Builder publik ()

MemoryLogTensorOutput publik getDefaultInstanceForType ()

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

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

int publik getIndex ()

indeks

 Index of the output being set.
 

int32 index = 3;

String publik getKernelName ()

 Name of the kernel producing an output as set in GraphDef, e.g.,
 "affine2/weights/Assign".
 

string kernel_name = 2;

publik com.google.protobuf.ByteString getKernelNameBytes ()

 Name of the kernel producing an output as set in GraphDef, e.g.,
 "affine2/weights/Assign".
 

string kernel_name = 2;

getStepId panjang publik ()

 Process-unique step id.
 

int64 step_id = 1;

TensorDeskripsi publik getTensor ()

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

TensorDescription.Builder publik getTensorBuilder ()

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

TensorDescriptionOrBuilder publik getTensorOrBuilder ()

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

boolean publik hasTensor ()

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

boolean akhir publik diinisialisasi ()

MemoryLogTensorOutput.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar

Pengecualian IO

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

MemoryLogTensorOutput.Builder mergeTensor publik (nilai TensorDescription )

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

MemoryLogTensorOutput.Builder mergeUnknownFields akhir publik (com.google.protobuf.UnknownFieldSet unknownFields)

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

MemoryLogTensorOutput.Builder setIndex publik (nilai int)

indeks

 Index of the output being set.
 

int32 index = 3;

MemoryLogTensorOutput.Builder setKernelName publik (nilai string)

 Name of the kernel producing an output as set in GraphDef, e.g.,
 "affine2/weights/Assign".
 

string kernel_name = 2;

MemoryLogTensorOutput.Builder setKernelNameBytes publik (nilai com.google.protobuf.ByteString)

 Name of the kernel producing an output as set in GraphDef, e.g.,
 "affine2/weights/Assign".
 

string kernel_name = 2;

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

public MemoryLogTensorOutput.Builder setStepId (nilai panjang)

 Process-unique step id.
 

int64 step_id = 1;

MemoryLogTensorOutput.Builder setTensor publik ( TensorDescription.Builder builderForValue)

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

MemoryLogTensorOutput.Builder setTensor publik (nilai TensorDescription )

 Output tensor details.
 

.tensorflow.TensorDescription tensor = 4;

MemoryLogTensorOutput.Builder akhir publik setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)