Halaman ini diterjemahkan oleh Cloud Translation API.

OptimizerOptions.Builder

OptimizerOptions.Builder kelas akhir statis publik

 Options passed to the graph optimizer

Tipe protobuf tensorflow.OptimizerOptions

Metode Publik

Opsi Pengoptimal.Pembangun	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Opsi Pengoptimal	membangun ()
Opsi Pengoptimal	membangunPartial ()
Opsi Pengoptimal.Pembangun	jernih ()
Opsi Pengoptimal.Pembangun	clearDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
Opsi Pengoptimal.Pembangun	clearDoConstantFolding () If true, perform constant folding optimization on the graph.
Opsi Pengoptimal.Pembangun	clearDoFunctionInlining () If true, perform function inlining on the graph.
Opsi Pengoptimal.Pembangun	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
Opsi Pengoptimal.Pembangun	jelasGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	clearMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Pembangun	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Opsi Pengoptimal.Pembangun	jelasOptTingkat () Overall optimization level.
Opsi Pengoptimal.Pembangun	klon ()
Opsi Pengoptimal	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
boolean	getDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
boolean	dapatkanDoConstantFolding () If true, perform constant folding optimization on the graph.
boolean	getDoFunctionInlining () If true, perform function inlining on the graph.
Opsi Pengoptimal.GlobalJitLevel	dapatkanGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
ke dalam	dapatkanGlobalJitLevelValue () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
panjang	getMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Level	dapatkan Tingkat Opsi () Overall optimization level.
ke dalam	dapatkanOptLevelValue () Overall optimization level.
boolean terakhir	diinisialisasi ()
Opsi Pengoptimal.Pembangun	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opsi Pengoptimal.Pembangun	mergeFrom (com.google.protobuf.Pesan lainnya)
Opsi Pengoptimal terakhir.Pembangun	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
Opsi Pengoptimal.Pembangun	setDoCommonSubexpressionElimination (nilai boolean) If true, optimize the graph using common subexpression elimination.
Opsi Pengoptimal.Pembangun	setDoConstantFolding (nilai boolean) If true, perform constant folding optimization on the graph.
Opsi Pengoptimal.Pembangun	setDoFunctionInlining (nilai boolean) If true, perform function inlining on the graph.
Opsi Pengoptimal.Pembangun	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Opsi Pengoptimal.Pembangun	setGlobalJitLevel (nilai OptimizerOptions.GlobalJitLevel ) `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	setGlobalJitLevelValue (nilai int) `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	setMaxFoldedConstantInBytes (nilai panjang) Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Pembangun	setOptLevel ( Nilai OptimizerOptions.Level ) Overall optimization level.
Opsi Pengoptimal.Pembangun	setOptLevelValue (nilai int) Overall optimization level.
Opsi Pengoptimal.Pembangun	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
Opsi Pengoptimal terakhir.Pembangun	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	beri tahu ()
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.OptimizerOptionsOrBuilder

boolean abstrak	getDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
boolean abstrak	dapatkanDoConstantFolding () If true, perform constant folding optimization on the graph.
boolean abstrak	getDoFunctionInlining () If true, perform function inlining on the graph.
abstrak OptimizerOptions.GlobalJitLevel	dapatkanGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
abstrak ke dalam	dapatkanGlobalJitLevelValue () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
abstrak panjang	getMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
abstrak OptimizerOptions.Level	dapatkan Tingkat Opsi () Overall optimization level.
abstrak ke dalam	dapatkanOptLevelValue () Overall optimization level.

Metode Publik

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

build OptimizerOptions publik ()

buildPartial OptimizerOptions publik ()

OptimizerOptions.Builder publik jelas ()

OptimizerOptions publik.Builder clearDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

OptimizerOptions.Builder publik clearDoConstantFolding ()

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

OptimizerOptions publik.Builder clearDoFunctionInlining ()

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

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

OptimizerOptions publik.Builder clearGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

OptimizerOptions.Builder publik clearMaxFoldedConstantInBytes ()

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

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

OptimizerOptions publik.Builder clearOptLevel ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

Klon OptimizerOptions.Builder publik ()

OptimizerOptions publik getDefaultInstanceForType ()

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

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

boolean publik getDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

boolean publik getDoConstantFolding ()

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

boolean publik getDoFunctionInlining ()

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

Opsi Pengoptimal publik.GlobalJitLevel getGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

publik int getGlobalJitLevelValue ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getMaxFoldedConstantInBytes panjang publik ()

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

OptimizerOptions publik.Level getOptLevel ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

int publik getOptLevelValue ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

boolean akhir publik diinisialisasi ()

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

Melempar

Pengecualian IO

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

OptimizerOptions.Builder final publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public OptimizerOptions.Builder setDoCommonSubexpressionElimination (nilai boolean)

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

OptimizerOptions.Builder publik setDoConstantFolding (nilai boolean)

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

OptimizerOptions.Builder publik setDoFunctionInlining (nilai boolean)

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

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

OptimizerOptions.Builder setGlobalJitLevel publik (nilai OptimizerOptions.GlobalJitLevel )

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

OptimizerOptions.Builder publik setGlobalJitLevelValue (nilai int)

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setMaxFoldedConstantInBytes (nilai panjang)

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

OptimizerOptions.Builder setOptLevel publik (nilai OptimizerOptions.Level )

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

OptimizerOptions.Builder publik setOptLevelValue (nilai int)

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

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

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

OptimizerOptions.Builder kelas akhir statis publik

 Options passed to the graph optimizer

Tipe protobuf tensorflow.OptimizerOptions

Metode Publik

Opsi Pengoptimal.Pembangun	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Opsi Pengoptimal	membangun ()
Opsi Pengoptimal	membangunPartial ()
Opsi Pengoptimal.Pembangun	jernih ()
Opsi Pengoptimal.Pembangun	clearDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
Opsi Pengoptimal.Pembangun	clearDoConstantFolding () If true, perform constant folding optimization on the graph.
Opsi Pengoptimal.Pembangun	clearDoFunctionInlining () If true, perform function inlining on the graph.
Opsi Pengoptimal.Pembangun	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
Opsi Pengoptimal.Pembangun	jelasGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	clearMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Pembangun	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Opsi Pengoptimal.Pembangun	jelasOptTingkat () Overall optimization level.
Opsi Pengoptimal.Pembangun	klon ()
Opsi Pengoptimal	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
boolean	getDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
boolean	dapatkanDoConstantFolding () If true, perform constant folding optimization on the graph.
boolean	getDoFunctionInlining () If true, perform function inlining on the graph.
Opsi Pengoptimal.GlobalJitLevel	dapatkanGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
ke dalam	dapatkanGlobalJitLevelValue () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
panjang	getMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Level	dapatkan Tingkat Opsi () Overall optimization level.
ke dalam	dapatkanOptLevelValue () Overall optimization level.
boolean terakhir	diinisialisasi ()
Opsi Pengoptimal.Pembangun	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Opsi Pengoptimal.Pembangun	mergeFrom (com.google.protobuf.Pesan lainnya)
Opsi Pengoptimal terakhir.Pembangun	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
Opsi Pengoptimal.Pembangun	setDoCommonSubexpressionElimination (nilai boolean) If true, optimize the graph using common subexpression elimination.
Opsi Pengoptimal.Pembangun	setDoConstantFolding (nilai boolean) If true, perform constant folding optimization on the graph.
Opsi Pengoptimal.Pembangun	setDoFunctionInlining (nilai boolean) If true, perform function inlining on the graph.
Opsi Pengoptimal.Pembangun	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Opsi Pengoptimal.Pembangun	setGlobalJitLevel (nilai OptimizerOptions.GlobalJitLevel ) `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	setGlobalJitLevelValue (nilai int) `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
Opsi Pengoptimal.Pembangun	setMaxFoldedConstantInBytes (nilai panjang) Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
Opsi Pengoptimal.Pembangun	setOptLevel ( Nilai OptimizerOptions.Level ) Overall optimization level.
Opsi Pengoptimal.Pembangun	setOptLevelValue (nilai int) Overall optimization level.
Opsi Pengoptimal.Pembangun	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
Opsi Pengoptimal terakhir.Pembangun	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	beri tahu ()
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.OptimizerOptionsOrBuilder

boolean abstrak	getDoCommonSubexpressionElimination () If true, optimize the graph using common subexpression elimination.
boolean abstrak	dapatkanDoConstantFolding () If true, perform constant folding optimization on the graph.
boolean abstrak	getDoFunctionInlining () If true, perform function inlining on the graph.
abstrak OptimizerOptions.GlobalJitLevel	dapatkanGlobalJitLevel () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
abstrak ke dalam	dapatkanGlobalJitLevelValue () `.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;`
abstrak panjang	getMaxFoldedConstantInBytes () Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
abstrak OptimizerOptions.Level	dapatkan Tingkat Opsi () Overall optimization level.
abstrak ke dalam	dapatkanOptLevelValue () Overall optimization level.

Metode Publik

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

build OptimizerOptions publik ()

buildPartial OptimizerOptions publik ()

OptimizerOptions.Builder publik jelas ()

OptimizerOptions publik.Builder clearDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

OptimizerOptions.Builder publik clearDoConstantFolding ()

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

OptimizerOptions publik.Builder clearDoFunctionInlining ()

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

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

OptimizerOptions publik.Builder clearGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

OptimizerOptions.Builder publik clearMaxFoldedConstantInBytes ()

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

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

OptimizerOptions publik.Builder clearOptLevel ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

Klon OptimizerOptions.Builder publik ()

OptimizerOptions publik getDefaultInstanceForType ()

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

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

boolean publik getDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

boolean publik getDoConstantFolding ()

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

boolean publik getDoFunctionInlining ()

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

Opsi Pengoptimal publik.GlobalJitLevel getGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

publik int getGlobalJitLevelValue ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

getMaxFoldedConstantInBytes panjang publik ()

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

OptimizerOptions publik.Level getOptLevel ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

int publik getOptLevelValue ()

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

boolean akhir publik diinisialisasi ()

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

Melempar

Pengecualian IO

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

OptimizerOptions.Builder final publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public OptimizerOptions.Builder setDoCommonSubexpressionElimination (nilai boolean)

 If true, optimize the graph using common subexpression elimination.

bool do_common_subexpression_elimination = 1;

OptimizerOptions.Builder publik setDoConstantFolding (nilai boolean)

 If true, perform constant folding optimization on the graph.

bool do_constant_folding = 2;

OptimizerOptions.Builder publik setDoFunctionInlining (nilai boolean)

 If true, perform function inlining on the graph.

bool do_function_inlining = 4;

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

OptimizerOptions.Builder setGlobalJitLevel publik (nilai OptimizerOptions.GlobalJitLevel )

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

OptimizerOptions.Builder publik setGlobalJitLevelValue (nilai int)

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setMaxFoldedConstantInBytes (nilai panjang)

 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes. To avoid inserting too large constants,
 the size of each constant created can be limited. If this value is zero, a
 default limit of 10 MiB will be applied. If constant folding optimization
 is disabled, this value is ignored.

int64 max_folded_constant_in_bytes = 6;

OptimizerOptions.Builder setOptLevel publik (nilai OptimizerOptions.Level )

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;

OptimizerOptions.Builder publik setOptLevelValue (nilai int)

 Overall optimization level. The actual optimizations applied will be the
 logical OR of the flags that this level implies and any flags already set.

.tensorflow.OptimizerOptions.Level opt_level = 3;