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;