org.tensorflow.framework

Interface GraphOptionsOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

GraphOptions, GraphOptions.Builder

public interface GraphOptionsOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
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.
boolean	getEnableBfloat16Sendrecv() If true, transfer float values between processes as bfloat16.
boolean	getEnableRecvScheduling() If true, use control flow to schedule the activation of Recv nodes.
boolean	getInferShapes() Annotate each Node with Op output shape data, to the extent it can be statically inferred.
OptimizerOptions	getOptimizerOptions() Options controlling how graph is optimized.
OptimizerOptionsOrBuilder	getOptimizerOptionsOrBuilder() Options controlling how graph is optimized.
boolean	getPlacePrunedGraph() Only place the subgraphs that are run, rather than the entire graph.
RewriterConfig	getRewriteOptions() Options that control the type and amount of graph rewriting.
RewriterConfigOrBuilder	getRewriteOptionsOrBuilder() Options that control the type and amount of graph rewriting.
int	getTimelineStep() If > 0, record a timeline every this many steps.
boolean	hasOptimizerOptions() Options controlling how graph is optimized.
boolean	hasRewriteOptions() Options that control the type and amount of graph rewriting.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getEnableRecvScheduling

boolean getEnableRecvScheduling()

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

bool enable_recv_scheduling = 2;

Returns:

The enableRecvScheduling.

hasOptimizerOptions

boolean hasOptimizerOptions()

 Options controlling how graph is optimized.
 

.tensorflow.OptimizerOptions optimizer_options = 3;

Returns:

Whether the optimizerOptions field is set.

getOptimizerOptions

OptimizerOptions getOptimizerOptions()

 Options controlling how graph is optimized.
 

.tensorflow.OptimizerOptions optimizer_options = 3;

Returns:

The optimizerOptions.

getOptimizerOptionsOrBuilder

OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder()

 Options controlling how graph is optimized.
 

.tensorflow.OptimizerOptions optimizer_options = 3;

getBuildCostModel

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;

Returns:

The buildCostModel.

getBuildCostModelAfter

long getBuildCostModelAfter()

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

int64 build_cost_model_after = 9;

Returns:

The buildCostModelAfter.

getInferShapes

boolean getInferShapes()

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

bool infer_shapes = 5;

Returns:

The inferShapes.

getPlacePrunedGraph

boolean 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;

Returns:

The placePrunedGraph.

getEnableBfloat16Sendrecv

boolean getEnableBfloat16Sendrecv()

 If true, transfer float values between processes as bfloat16.
 

bool enable_bfloat16_sendrecv = 7;

Returns:

The enableBfloat16Sendrecv.

getTimelineStep

int getTimelineStep()

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

int32 timeline_step = 8;

Returns:

The timelineStep.

hasRewriteOptions

boolean 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;

Returns:

Whether the rewriteOptions field is set.

getRewriteOptions

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;

Returns:

The rewriteOptions.

getRewriteOptionsOrBuilder

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;