OptimizerOptions.Builder

OptimizerOptions.Builder kelas akhir statis publik

 Options passed to the graph optimizer
 
Protobuf tipe tensorflow.OptimizerOptions

Metode Publik

Opsi Pengoptimal.Pembangun
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
Opsi Pengoptimal
Opsi Pengoptimal
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 salah satu)
Opsi Pengoptimal.Pembangun
jelasOptTingkat ()
 Overall optimization level.
Opsi Pengoptimal.Pembangun
klon ()
Opsi Pengoptimal
com.google.protobuf.Descriptors.Descriptor statis terakhir
com.google.protobuf.Descriptors.Descriptor
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
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

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 masukan, 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)