OptimizerOptions.Builder

public static final class OptimizerOptions.Builder 

 Options passed to the graph optimizer
Protobuf type tensorflow.OptimizerOptions

Public Methods

OptimizerOptions.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
OptimizerOptions
build()
OptimizerOptions
buildPartial()
OptimizerOptions.Builder
clear()
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(com.google.protobuf.Descriptors.FieldDescriptor field)
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
getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType()
boolean
getDoCommonSubexpressionElimination() 
 If true, optimize the graph using common subexpression elimination.
boolean
getDoConstantFolding() 
 If true, perform constant folding optimization on the graph.
boolean
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;
long
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 boolean
isInitialized()
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(boolean value) 
 If true, optimize the graph using common subexpression elimination.
OptimizerOptions.Builder
setDoConstantFolding(boolean value) 
 If true, perform constant folding optimization on the graph.
OptimizerOptions.Builder
setDoFunctionInlining(boolean value) 
 If true, perform function inlining on the graph.
OptimizerOptions.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
OptimizerOptions.Builder
setGlobalJitLevel(OptimizerOptions.GlobalJitLevel value)
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
OptimizerOptions.Builder
setGlobalJitLevelValue(int value)
.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
OptimizerOptions.Builder
setMaxFoldedConstantInBytes(long value) 
 Constant folding optimization replaces tensors whose values can be
 predetermined, with constant nodes.
OptimizerOptions.Builder
setOptLevel(OptimizerOptions.Level value) 
 Overall optimization level.
OptimizerOptions.Builder
setOptLevelValue(int value) 
 Overall optimization level.
OptimizerOptions.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
final OptimizerOptions.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Inherited Methods

Public Methods

public OptimizerOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

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 (com.google.protobuf.Descriptors.FieldDescriptor field)

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)

Throws
IOException

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

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

public OptimizerOptions.Builder setDoCommonSubexpressionElimination (boolean value) 

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

public OptimizerOptions.Builder setDoConstantFolding (boolean value) 

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

public OptimizerOptions.Builder setDoFunctionInlining (boolean value) 

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

public OptimizerOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public OptimizerOptions.Builder setGlobalJitLevel (OptimizerOptions.GlobalJitLevel value)

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setGlobalJitLevelValue (int value)

.tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;

public OptimizerOptions.Builder setMaxFoldedConstantInBytes (long value) 

 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 (int 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 setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

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