GraphOptionsOrBuilder

общедоступный интерфейс GraphOptionsOrBuilder

Известные косвенные подклассы

Публичные методы

абстрактный длинный	getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph.
абстрактный длинный	getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model.
абстрактное логическое значение	getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16.
абстрактное логическое значение	getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes.
абстрактное логическое значение	getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred.
абстрактные параметры оптимизатора	getOptimizerOptions () Options controlling how graph is optimized.
абстрактный OptimizerOptionsOrBuilder	getOptimizerOptionsOrBuilder () Options controlling how graph is optimized.
абстрактное логическое значение	getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph.
абстрактный RewriterConfig	getRewriteOptions () Options that control the type and amount of graph rewriting.
абстрактный RewriterConfigOrBuilder	getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting.
абстрактный int	getTimelineStep () If > 0, record a timeline every this many steps.
абстрактное логическое значение	имеетОптимизаторПараметры () Options controlling how graph is optimized.
абстрактное логическое значение	имеетRewriteOptions () Options that control the type and amount of graph rewriting.

Публичные методы

общедоступная абстрактная длинная 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;

общедоступный абстрактный длинный getBuildCostModelAfter ()

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

int64 build_cost_model_after = 9;

общедоступное абстрактное логическое значение getEnableBfloat16Sendrecv ()

 If true, transfer float values between processes as bfloat16.

bool enable_bfloat16_sendrecv = 7;

общедоступное абстрактное логическое значение getEnableRecvScheduling ()

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

bool enable_recv_scheduling = 2;

общедоступное абстрактное логическое значение getInferShapes ()

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

bool infer_shapes = 5;

публичный абстрактный OptimizerOptions getOptimizerOptions ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

общедоступный абстрактный OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

общедоступное абстрактное логическое значение 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;

публичный абстрактный 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;

общедоступный абстрактный 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;

общедоступный абстрактный int getTimelineStep ()

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

int32 timeline_step = 8;

общедоступное абстрактное логическое значение hasOptimizerOptions ()

 Options controlling how graph is optimized.

.tensorflow.OptimizerOptions optimizer_options = 3;

общедоступное абстрактное логическое значение 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;