OptimizerOptions.Builder

public static final class OptimizerOptions.Builder

 Options passed to the graph optimizer
 
tensorflow.OptimizerOptions tipo tensorflow.OptimizerOptions

Métodos Públicos

OptimizerOptions.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
OptimizerOptions
build ()
OptimizerOptions
OptimizerOptions.Builder
limpar ()
OptimizerOptions.Builder
clearDoCommonSubexpressionElimination ()
 If true, optimize the graph using common subexpression elimination.
OptimizerOptions.Builder
clearDoConstantFolding ()
 If true, perform constant folding optimization on the graph.
OptimizerOptions.Builder
clearDoFunctionInlining ()
 If true, perform function inlining on the graph.
OptimizerOptions.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
OptimizerOptions.Builder
clearGlobalJitLevel ()
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
OptimizerOptions.Builder
clearMaxFoldedConstantInBytes ()
 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes.
OptimizerOptions.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
OptimizerOptions.Builder
clearOptLevel ()
 Overall optimization level.
OptimizerOptions.Builder
clone ()
OptimizerOptions
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
boleano
getDoCommonSubexpressionElimination ()
 If true, optimize the graph using common subexpression elimination.
boleano
getDoConstantFolding ()
 If true, perform constant folding optimization on the graph.
boleano
getDoFunctionInlining ()
 If true, perform function inlining on the graph.
OptimizerOptions.GlobalJitLevel
getGlobalJitLevel ()
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
int
getGlobalJitLevelValue ()
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
longo
getMaxFoldedConstantInBytes ()
 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes.
OptimizerOptions.Level
getOptLevel ()
 Overall optimization level.
int
getOptLevelValue ()
 Overall optimization level.
final booleano
OptimizerOptions.Builder
mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OptimizerOptions.Builder
mergeFrom (com.google.protobuf.Message other)
final OptimizerOptions.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
OptimizerOptions.Builder
setDoCommonSubexpressionElimination (valor booleano)
 If true, optimize the graph using common subexpression elimination.
OptimizerOptions.Builder
setDoConstantFolding (valor booleano)
 If true, perform constant folding optimization on the graph.
OptimizerOptions.Builder
setDoFunctionInlining (valor booleano)
 If true, perform function inlining on the graph.
OptimizerOptions.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
OptimizerOptions.Builder
setGlobalJitLevel (valor OptimizerOptions.GlobalJitLevel )
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
OptimizerOptions.Builder
setGlobalJitLevelValue (valor int)
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
OptimizerOptions.Builder
setMaxFoldedConstantInBytes (valor longo)
 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes.
OptimizerOptions.Builder
setOptLevel (valor OptimizerOptions.Level )
 Overall optimization level.
OptimizerOptions.Builder
setOptLevelValue (valor int)
 Overall optimization level.
OptimizerOptions.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
final OptimizerOptions.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Métodos herdados

Métodos Públicos

public OptimizerOptions.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

public OptimizerOptions build ()

public OptimizerOptions buildPartial ()

public OptimizerOptions.Builder clear ()

public OptimizerOptions.Builder clearDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.
 
bool do_common_subexpression_elimination = 1;

public OptimizerOptions.Builder clearDoConstantFolding ()

 If true, perform constant folding optimization on the graph.
 
bool do_constant_folding = 2;

public OptimizerOptions.Builder clearDoFunctionInlining ()

 If true, perform function inlining on the graph.
 
bool do_function_inlining = 4;

public OptimizerOptions.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

public OptimizerOptions.Builder clearGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder 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;

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

public OptimizerOptions.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;

public OptimizerOptions.Builder clone ()

public OptimizerOptions getDefaultInstanceForType ()

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

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

public boolean getDoCommonSubexpressionElimination ()

 If true, optimize the graph using common subexpression elimination.
 
bool do_common_subexpression_elimination = 1;

public boolean getDoConstantFolding ()

 If true, perform constant folding optimization on the graph.
 
bool do_constant_folding = 2;

public boolean getDoFunctionInlining ()

 If true, perform function inlining on the graph.
 
bool do_function_inlining = 4;

public OptimizerOptions.GlobalJitLevel getGlobalJitLevel ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public int getGlobalJitLevelValue ()

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public long getMaxFoldedConstantInBytes ()

 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;

public OptimizerOptions.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;

public int 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;

public final boolean isInitialized ()

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

Lança
IOException

public OptimizerOptions.Builder mergeFrom (com.google.protobuf.Message other)

public final OptimizerOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public OptimizerOptions.Builder setDoCommonSubexpressionElimination (valor booleano)

 If true, optimize the graph using common subexpression elimination.
 
bool do_common_subexpression_elimination = 1;

public OptimizerOptions.Builder setDoConstantFolding (valor booleano)

 If true, perform constant folding optimization on the graph.
 
bool do_constant_folding = 2;

public OptimizerOptions.Builder setDoFunctionInlining (valor booleano)

 If true, perform function inlining on the graph.
 
bool do_function_inlining = 4;

public OptimizerOptions.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

public OptimizerOptions.Builder setGlobalJitLevel (valor OptimizerOptions.GlobalJitLevel )

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setGlobalJitLevelValue (valor int)

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setMaxFoldedConstantInBytes (valor longo)

 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;

public OptimizerOptions.Builder setOptLevel ( OptimizerOptions.Level value)

 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 setOptLevelValue (valor 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)

public final OptimizerOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)