GraphOptions.Builder

clase final estática pública GraphOptions.Builder

Protobuf tipo tensorflow.GraphOptions

Métodos públicos

GraphOptions.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
Opciones de gráfico
Opciones de gráfico
GraphOptions.Builder
claro ()
GraphOptions.Builder
borrarBuildCostModel ()
 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 (campo com.google.protobuf.Descriptors.FieldDescriptor)
GraphOptions.Builder
borrarInferShapes ()
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
GraphOptions.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
GraphOptions.Builder
borrarOptimizerOptions ()
 Options controlling how graph is optimized.
GraphOptions.Builder
clearPlacePrunedGraph ()
 Only place the subgraphs that are run, rather than the entire graph.
GraphOptions.Builder
borrarRewriteOptions ()
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
borrarTimelineStep ()
 If > 0, record a timeline every this many steps.
GraphOptions.Builder
clonar ()
largo
getBuildCostModel ()
 The number of steps to run before returning a cost model detailing
 the memory usage and performance of each node of the graph.
largo
getBuildCostModelAfter ()
 The number of steps to skip before collecting statistics for the
 cost model.
Opciones de gráfico
com.google.protobuf.Descriptors.Descriptor estático final
com.google.protobuf.Descriptors.Descriptor
booleano
getEnableBfloat16Sendrecv ()
 If true, transfer float values between processes as bfloat16.
booleano
getEnableRecvScheduling ()
 If true, use control flow to schedule the activation of Recv nodes.
booleano
obtenerInferShapes ()
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
Opciones del optimizador
getOptimizerOptions ()
 Options controlling how graph is optimized.
OptimizerOptions.Builder
getOptimizerOptionsBuilder ()
 Options controlling how graph is optimized.
OptimizerOptionsOrBuilder
getOptimizerOptionsOrBuilder ()
 Options controlling how graph is optimized.
booleano
getPlacePrunedGraph ()
 Only place the subgraphs that are run, rather than the entire graph.
Configuración de reescritura
getRewriteOptions ()
 Options that control the type and amount of graph rewriting.
RewriterConfig.Builder
getRewriteOptionsBuilder ()
 Options that control the type and amount of graph rewriting.
ReescritorConfigOrBuilder
getRewriteOptionsOrBuilder ()
 Options that control the type and amount of graph rewriting.
En t
getTimelineStep ()
 If > 0, record a timeline every this many steps.
booleano
tieneOptimizerOptions ()
 Options controlling how graph is optimized.
booleano
tieneRewriteOptions ()
 Options that control the type and amount of graph rewriting.
booleano final
GraphOptions.Builder
mergeFrom (com.google.protobuf.Message otro)
GraphOptions.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
GraphOptions.Builder
mergeOptimizerOptions (valor de OptimizerOptions )
 Options controlling how graph is optimized.
GraphOptions.Builder
mergeRewriteOptions (valor de RewriterConfig )
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
GraphOptions.Builder
setBuildCostModel (valor largo)
 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 (valor largo)
 The number of steps to skip before collecting statistics for the
 cost model.
GraphOptions.Builder
setEnableBfloat16Sendrecv (valor booleano)
 If true, transfer float values between processes as bfloat16.
GraphOptions.Builder
setEnableRecvScheduling (valor booleano)
 If true, use control flow to schedule the activation of Recv nodes.
GraphOptions.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
GraphOptions.Builder
setInferShapes (valor booleano)
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
GraphOptions.Builder
setOptimizerOptions (valor de OptimizerOptions )
 Options controlling how graph is optimized.
GraphOptions.Builder
setOptimizerOptions ( OptimizerOptions.Builder builderForValue)
 Options controlling how graph is optimized.
GraphOptions.Builder
setPlacePrunedGraph (valor booleano)
 Only place the subgraphs that are run, rather than the entire graph.
GraphOptions.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
GraphOptions.Builder
setRewriteOptions ( RewriterConfig.Builder builderForValue)
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
setRewriteOptions (valor de RewriterConfig )
 Options that control the type and amount of graph rewriting.
GraphOptions.Builder
setTimelineStep (valor int)
 If > 0, record a timeline every this many steps.
GraphOptions.Builder final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

Métodos heredados

Métodos públicos

public GraphOptions.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

compilación pública de GraphOptions ()

GraphOptions públicas buildPartial ()

pública GraphOptions.Builder claro ()

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;

pública 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 (campo com.google.protobuf.Descriptors.FieldDescriptor)

pública GraphOptions.Builder clearInferShapes ()

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

pública 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;

clon público de GraphOptions.Builder ()

público largo 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;

público largo getBuildCostModelAfter ()

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

GraphOptions públicas getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

getEnableBfloat16Sendrecv booleano público ()

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

getEnableRecvScheduling booleano público ()

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

getInferShapes booleano público ()

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

público OptimizerOptions getOptimizerOptions ()

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

público OptimizerOptions.Builder getOptimizerOptionsBuilder ()

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

público OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

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

getPlacePrunedGraph booleano público ()

 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;

público 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;

público 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;

público 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;

público int getTimelineStep ()

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

hasOptimizerOptions booleano público ()

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

hasRewriteOptions booleano público ()

 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;

público final booleano isInitialized ()

GraphOptions.Builder público mergeFrom (com.google.protobuf.Message otro)

GraphOptions.Builder público mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)

Lanza
IOExcepción

public GraphOptions.Builder mergeOptimizerOptions (valor de OptimizerOptions )

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

public GraphOptions.Builder mergeRewriteOptions (valor 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;

GraphOptions.Builder final público mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

public GraphOptions.Builder setBuildCostModel (valor largo)

 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 (valor largo)

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

public GraphOptions.Builder setEnableBfloat16Sendrecv (valor booleano)

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

public GraphOptions.Builder setEnableRecvScheduling (valor booleano)

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

public GraphOptions.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

public GraphOptions.Builder setInferShapes (valor booleano)

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

public GraphOptions.Builder setOptimizerOptions (valor de 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 (valor booleano)

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

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 (valor 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 (valor int)

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

GraphOptions.Builder final público setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)