GraphOptionsOrBuilder

interfaz pública GraphOptionsOrBuilder
Subclases indirectas conocidas

Métodos públicos

resumen 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.
resumen largo
getBuildCostModelAfter ()
 The number of steps to skip before collecting statistics for the
 cost model.
booleano abstracto
getEnableBfloat16Sendrecv ()
 If true, transfer float values between processes as bfloat16.
booleano abstracto
getEnableRecvScheduling ()
 If true, use control flow to schedule the activation of Recv nodes.
booleano abstracto
obtenerInferShapes ()
 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.
Opciones de optimización abstractas
getOptimizerOptions ()
 Options controlling how graph is optimized.
Resumen OptimizerOptionsOrBuilder
getOptimizerOptionsOrBuilder ()
 Options controlling how graph is optimized.
booleano abstracto
getPlacePrunedGraph ()
 Only place the subgraphs that are run, rather than the entire graph.
resumen RewriterConfig
getRewriteOptions ()
 Options that control the type and amount of graph rewriting.
resumen RewriterConfigOrBuilder
getRewriteOptionsOrBuilder ()
 Options that control the type and amount of graph rewriting.
resumen entero
getTimelineStep ()
 If > 0, record a timeline every this many steps.
booleano abstracto
tieneOptimizerOptions ()
 Options controlling how graph is optimized.
booleano abstracto
tieneRewriteOptions ()
 Options that control the type and amount of graph rewriting.

Métodos públicos

getBuildCostModel largo abstracto público ()

 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;

getBuildCostModelAfter largo abstracto público ()

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

getEnableBfloat16Sendrecv booleano abstracto público ()

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

getEnableRecvScheduling booleano abstracto público ()

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

getInferShapes booleano abstracto público ()

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

resumen público OptimizerOptions getOptimizerOptions ()

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

resumen público OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

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

getPlacePrunedGraph booleano abstracto 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;

resumen 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;

resumen 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;

resumen 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 abstracto público ()

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

hasRewriteOptions booleano abstracto 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;