GraphOptions.Builder

classe finale statique publique GraphOptions.Builder

tensorflow.GraphOptions de type Protobuf.GraphOptions

Méthodes publiques

GraphOptions.Builder
addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
Options de graphique
Options de graphique
GraphOptions.Builder
clair ()
GraphOptions.Builder
clearBuildCostModel ()
 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph.
GraphOptions.Builder
clearBuildCostModelAfter ()
 The number of steps to skip before collecting statistics for the
 cost model.
GraphOptions.Builder
clearEnableBfloat16Sendrecv ()
 If true, transfer float values between processes as bfloat16.
GraphOptions.Builder
clearEnableRecvScheduling ()
 If true, use control flow to schedule the activation of Recv nodes.
GraphOptions.Builder
clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
GraphOptions.Builder
clearInferShapes ()
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
GraphOptions.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
GraphOptions.Builder
clearOptimizerOptions ()
 Options controlling how graph is optimized.
GraphOptions.Builder
clearPlacePrunedGraph ()
 Only place the subgraphs that are run, rather than the entire graph.
GraphOptions.Builder
clearRewriteOptions ()
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
clearTimelineStep ()
 If > 0, record a timeline every this many steps.
GraphOptions.Builder
cloner ()
long
getBuildCostModel ()
 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph.
long
getBuildCostModelAfter ()
 The number of steps to skip before collecting statistics for the
 cost model.
Options de graphique
final statique com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
booléen
getEnableBfloat16Sendrecv ()
 If true, transfer float values between processes as bfloat16.
booléen
getEnableRecvScheduling ()
 If true, use control flow to schedule the activation of Recv nodes.
booléen
getInferShapes ()
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
Options de l'optimiseur
getOptimizerOptions ()
 Options controlling how graph is optimized.
OptimizerOptions.Builder
getOptimizerOptionsBuilder ()
 Options controlling how graph is optimized.
OptimizerOptionsOrBuilder
getOptimizerOptionsOrBuilder ()
 Options controlling how graph is optimized.
booléen
getPlacePrunedGraph ()
 Only place the subgraphs that are run, rather than the entire graph.
RéécrivainConfig
getRewriteOptions ()
 Options that control the type and amount of graph rewriting.
RewriterConfig.Builder
getRewriteOptionsBuilder ()
 Options that control the type and amount of graph rewriting.
RéécrivainConfigOrBuilder
getRewriteOptionsOrBuilder ()
 Options that control the type and amount of graph rewriting.
int
getTimelineStep ()
 If > 0, record a timeline every this many steps.
booléen
hasOptimizerOptions ()
 Options controlling how graph is optimized.
booléen
hasRewriteOptions ()
 Options that control the type and amount of graph rewriting.
booléen final
GraphOptions.Builder
mergeFrom (com.google.protobuf.Message autre)
GraphOptions.Builder
mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
GraphOptions.Builder
mergeOptimizerOptions (valeur OptimizerOptions )
 Options controlling how graph is optimized.
GraphOptions.Builder
mergeRewriteOptions (valeur RewriterConfig )
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
GraphOptions.Builder
setBuildCostModel (valeur longue)
 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph.
GraphOptions.Builder
setBuildCostModelAfter (valeur longue)
 The number of steps to skip before collecting statistics for the
 cost model.
GraphOptions.Builder
setEnableBfloat16Sendrecv (valeur booléenne)
 If true, transfer float values between processes as bfloat16.
GraphOptions.Builder
setEnableRecvScheduling (valeur booléenne)
 If true, use control flow to schedule the activation of Recv nodes.
GraphOptions.Builder
setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
GraphOptions.Builder
setInferShapes (valeur booléenne)
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
GraphOptions.Builder
setOptimizerOptions (valeur OptimizerOptions )
 Options controlling how graph is optimized.
GraphOptions.Builder
setOptimizerOptions ( OptimizerOptions.Builder builderForValue)
 Options controlling how graph is optimized.
GraphOptions.Builder
setPlacePrunedGraph (valeur booléenne)
 Only place the subgraphs that are run, rather than the entire graph.
GraphOptions.Builder
setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
GraphOptions.Builder
setRewriteOptions ( RewriterConfig.Builder builderForValue)
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
setRewriteOptions (valeur RewriterConfig )
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
setTimelineStep (valeur entière)
 If > 0, record a timeline every this many steps.
GraphOptions.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)

Méthodes héritées

Méthodes publiques

public GraphOptions.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

build public GraphOptions ()

public GraphOptions buildPartial ()

public GraphOptions.Builder clear ()

public GraphOptions.Builder clearBuildCostModel ()

 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph. 0 means
 no cost model.
 
int64 build_cost_model = 4;

public GraphOptions.Builder clearBuildCostModelAfter ()

 The number of steps to skip before collecting statistics for the
 cost model.
 
int64 build_cost_model_after = 9;

public GraphOptions.Builder clearEnableBfloat16Sendrecv ()

 If true, transfer float values between processes as bfloat16.
 
bool enable_bfloat16_sendrecv = 7;

public GraphOptions.Builder clearEnableRecvScheduling ()

 If true, use control flow to schedule the activation of Recv nodes.
 (Currently ignored.)
 
bool enable_recv_scheduling = 2;

public GraphOptions.Builder clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)

public GraphOptions.Builder clearInferShapes ()

 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
 
bool infer_shapes = 5;

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

public GraphOptions.Builder clearOptimizerOptions ()

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public GraphOptions.Builder clearPlacePrunedGraph ()

 Only place the subgraphs that are run, rather than the entire graph.
 This is useful for interactive graph building, where one might
 produce graphs that cannot be placed during the debugging
 process.  In particular, it allows the client to continue work in
 a session after adding a node to a graph whose placement
 constraints are unsatisfiable.
 
bool place_pruned_graph = 6;

public GraphOptions.Builder clearRewriteOptions ()

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public GraphOptions.Builder clearTimelineStep ()

 If > 0, record a timeline every this many steps.
 EXPERIMENTAL: This currently has no effect in MasterSession.
 
int32 timeline_step = 8;

clone public GraphOptions.Builder ()

public long getBuildCostModel ()

 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph. 0 means
 no cost model.
 
int64 build_cost_model = 4;

public long getBuildCostModelAfter ()

 The number of steps to skip before collecting statistics for the
 cost model.
 
int64 build_cost_model_after = 9;

public GraphOptions getDefaultInstanceForType ()

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

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

public booléen getEnableBfloat16Sendrecv ()

 If true, transfer float values between processes as bfloat16.
 
bool enable_bfloat16_sendrecv = 7;

public booléen getEnableRecvScheduling ()

 If true, use control flow to schedule the activation of Recv nodes.
 (Currently ignored.)
 
bool enable_recv_scheduling = 2;

public booléen getInferShapes ()

 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
 
bool infer_shapes = 5;

public OptimizerOptions getOptimizerOptions ()

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public OptimizerOptions.Builder getOptimizerOptionsBuilder ()

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public booléen getPlacePrunedGraph ()

 Only place the subgraphs that are run, rather than the entire graph.
 This is useful for interactive graph building, where one might
 produce graphs that cannot be placed during the debugging
 process.  In particular, it allows the client to continue work in
 a session after adding a node to a graph whose placement
 constraints are unsatisfiable.
 
bool place_pruned_graph = 6;

public RewriterConfig getRewriteOptions ()

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public RewriterConfig.Builder getRewriteOptionsBuilder ()

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public RewriterConfigOrBuilder getRewriteOptionsOrBuilder ()

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public int getTimelineStep ()

 If > 0, record a timeline every this many steps.
 EXPERIMENTAL: This currently has no effect in MasterSession.
 
int32 timeline_step = 8;

public booléen hasOptimizerOptions ()

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public booléen hasRewriteOptions ()

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public final booléen isInitialized ()

public GraphOptions.Builder mergeFrom (com.google.protobuf.Message autre)

public GraphOptions.Builder mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
IOException

public GraphOptions.Builder mergeOptimizerOptions (valeur OptimizerOptions )

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public GraphOptions.Builder mergeRewriteOptions (valeur RewriterConfig )

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

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

public GraphOptions.Builder setBuildCostModel (valeur longue)

 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph. 0 means
 no cost model.
 
int64 build_cost_model = 4;

public GraphOptions.Builder setBuildCostModelAfter (valeur longue)

 The number of steps to skip before collecting statistics for the
 cost model.
 
int64 build_cost_model_after = 9;

public GraphOptions.Builder setEnableBfloat16Sendrecv (valeur booléenne)

 If true, transfer float values between processes as bfloat16.
 
bool enable_bfloat16_sendrecv = 7;

public GraphOptions.Builder setEnableRecvScheduling (valeur booléenne)

 If true, use control flow to schedule the activation of Recv nodes.
 (Currently ignored.)
 
bool enable_recv_scheduling = 2;

public GraphOptions.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

public GraphOptions.Builder setInferShapes (valeur booléenne)

 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
 
bool infer_shapes = 5;

public GraphOptions.Builder setOptimizerOptions (valeur OptimizerOptions )

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public GraphOptions.Builder setOptimizerOptions ( OptimizerOptions.Builder builderForValue)

 Options controlling how graph is optimized.
 
.tensorflow.OptimizerOptions optimizer_options = 3;

public GraphOptions.Builder setPlacePrunedGraph (valeur booléenne)

 Only place the subgraphs that are run, rather than the entire graph.
 This is useful for interactive graph building, where one might
 produce graphs that cannot be placed during the debugging
 process.  In particular, it allows the client to continue work in
 a session after adding a node to a graph whose placement
 constraints are unsatisfiable.
 
bool place_pruned_graph = 6;

public GraphOptions.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

public GraphOptions.Builder setRewriteOptions ( RewriterConfig.Builder builderForValue)

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public GraphOptions.Builder setRewriteOptions (valeur RewriterConfig )

 Options that control the type and amount of graph rewriting.
 Not currently configurable via the public Python API (i.e. there is no API
 stability guarantee if you import RewriterConfig explicitly).
 
.tensorflow.RewriterConfig rewrite_options = 10;

public GraphOptions.Builder setTimelineStep (valeur int)

 If > 0, record a timeline every this many steps.
 EXPERIMENTAL: This currently has no effect in MasterSession.
 
int32 timeline_step = 8;

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