interfaz pública GraphOptionsOrBuilder
| Subclases indirectas conocidas |
Métodos públicos
| abstracto largo | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| abstracto largo | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| booleano abstracto | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| booleano abstracto | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| booleano abstracto | getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| OptimizerOptions abstractas | getOptimizerOptions () Options controlling how graph is optimized. |
| OptimizerOptionsOrBuilder abstracto | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| booleano abstracto | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| resumen RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| resumen RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| int abstracto | getTimelineStep () If > 0, record a timeline every this many steps. |
| booleano abstracto | hasOptimizerOptions () Options controlling how graph is optimized. |
| booleano abstracto | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
Métodos públicos
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;getEnableRecvScheduling () booleano abstracto público
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2;getInferShapes () booleano abstracto público
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5;OptimizerOptions abstractas públicas getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;resumen público OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3;getPlacePrunedGraph () booleano abstracto público
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;resumen público 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;resumen público 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;hasRewriteOptions () booleano abstracto público
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;