GraphOptionsOrBuilder

interface publique GraphOptionsOrBuilder

Sous-classes indirectes connues

Méthodes publiques

abstrait 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.
abstrait long	getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model.
booléen abstrait	getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16.
booléen abstrait	getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes.
booléen abstrait	getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred.
abstrait OptimizerOptions	getOptimizerOptions () Options controlling how graph is optimized.
abstrait OptimizerOptionsOrBuilder	getOptimizerOptionsOrBuilder () Options controlling how graph is optimized.
booléen abstrait	getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph.
résumé RewriterConfig	getRewriteOptions () Options that control the type and amount of graph rewriting.
résumé RewriterConfigOrBuilder	getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting.
abstrait entier	getTimelineStep () If > 0, record a timeline every this many steps.
booléen abstrait	hasOptimizerOptions () Options controlling how graph is optimized.
booléen abstrait	hasRewriteOptions () Options that control the type and amount of graph rewriting.

Méthodes publiques

public abstrait 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 abstrait long getBuildCostModelAfter ()

 The number of steps to skip before collecting statistics for the
 cost model.

int64 build_cost_model_after = 9;

public abstrait booléen getEnableBfloat16Sendrecv ()

 If true, transfer float values between processes as bfloat16.

bool enable_bfloat16_sendrecv = 7;

public abstrait booléen getEnableRecvScheduling ()

 If true, use control flow to schedule the activation of Recv nodes.
 (Currently ignored.)

bool enable_recv_scheduling = 2;

public abstrait booléen getInferShapes ()

 Annotate each Node with Op output shape data, to the extent it can
 be statically inferred.

bool infer_shapes = 5;

résumé public OptimizerOptions getOptimizerOptions ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

public abstrait OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

public abstrait 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 abstrait 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 abstrait 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 abstrait int getTimelineStep ()

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

int32 timeline_step = 8;

public abstrait booléen hasOptimizerOptions ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

public abstrait 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;