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GraphOptionsOrBuilder

public interface GraphOptionsOrBuilder
Known Indirect Subclasses

Public Methods

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

Public Methods

public abstract 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 abstract long getBuildCostModelAfter ()

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

public abstract boolean getEnableBfloat16Sendrecv ()

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

public abstract boolean getEnableRecvScheduling ()

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

public abstract boolean getInferShapes ()

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

public abstract OptimizerOptions getOptimizerOptions ()

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

public abstract OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()

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

public abstract 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;

public abstract 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 abstract 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 abstract int getTimelineStep ()

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

public abstract boolean hasOptimizerOptions ()

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

public abstract 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;